{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"6) i) Test Set Metrics.ipynb","provenance":[],"collapsed_sections":[],"toc_visible":true,"machine_shape":"hm","authorship_tag":"ABX9TyMde5GRR0OziHNgiJkMG080"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"},"accelerator":"GPU"},"cells":[{"cell_type":"markdown","metadata":{"id":"RAqJq5Pbe-wB"},"source":["#**Description of Notebook:**\n","This notebook contains the metrics obtained from testing the final trained models on both the Veltri and the Independent Datasets."]},{"cell_type":"markdown","metadata":{"id":"t6qFSAQTu1v7"},"source":["#**Imports:**"]},{"cell_type":"code","metadata":{"id":"uHqsMyc2fCTG","executionInfo":{"status":"ok","timestamp":1630326905427,"user_tz":-60,"elapsed":2075,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}}},"source":["import pandas as pd\n","import numpy as np\n","import sklearn.metrics\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","from sklearn.metrics import confusion_matrix, classification_report, roc_auc_score, plot_roc_curve, roc_curve\n","from tensorflow import keras\n","import time\n","\n","%matplotlib inline"],"execution_count":1,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"VShxubqnIci-","executionInfo":{"status":"ok","timestamp":1630326923432,"user_tz":-60,"elapsed":16350,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}},"outputId":"a06e649d-c801-4821-dc1e-ae59aa671252"},"source":["print('Mounting google drive...')\n","from google.colab import drive\n","drive.mount('/content/drive')\n","%cd \"/content/drive/MyDrive/Dissertation_Embeddings\""],"execution_count":2,"outputs":[{"output_type":"stream","text":["Mounting google drive...\n","Mounted at /content/drive\n","/content/drive/MyDrive/Dissertation_Embeddings\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"cHz-IfcTv1Pe"},"source":["#**Function Used to Obtain Metrics and Confusion Matrices:**"]},{"cell_type":"code","metadata":{"id":"5CrJ6QDSv-0i","executionInfo":{"status":"ok","timestamp":1630069565049,"user_tz":-60,"elapsed":299,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}}},"source":["def display_conf_matrix(true_labels, pred_labels, pred_proba, classifier, savefile):\n","    \n","    # Display and Save Confusion Matrix:\n","    fig = plt.figure(figsize=(6,4), dpi=100)\n","\n","    confusion_matrix1 = pd.crosstab(np.array(true_labels), \n","                                   np.array(pred_labels),\n","                                   rownames=['Actual'], colnames=['Predicted'])\n","    confusion_matrix2 = pd.crosstab(np.array(true_labels), \n","                                   np.array(pred_labels),\n","                                   rownames=['Actual'], colnames=['Predicted'], normalize='index')\n","\n","\n","    # Extracting counts and percentages from the matrices above:\n","    counts = [\"{0:,}\".format(value) for value in\n","                    confusion_matrix1.to_numpy().flatten()]\n","\n","    percentages = [\"{0:.2%}\".format(value) for value in\n","                         confusion_matrix2.to_numpy().flatten()]\n","\n","    # Combining counts and percentages as one label:\n","    labels = [f\"{v1}\\n{v2}\" for v1, v2 in zip(percentages, counts)]\n","\n","    # Reshaping the labels to fit the array:\n","    labels = np.asarray(labels).reshape(2,2)\n","\n","    #Plotting the heatmap:\n","    sns.heatmap(confusion_matrix2, annot=labels, fmt='', cmap='BuPu')\n","    plt.title(\"Confusion Matrix - %s\\n\" % classifier, fontweight='bold')\n","    plt.savefig(savefile, bbox_inches='tight')\n","    plt.show()\n","\n","    # Calculating Metrics Using the Confusion Matrix:\n","    CM = confusion_matrix(true_labels, pred_labels, labels=[0, 1])\n","\n","    TP = CM[1][1]\n","    FN = CM[1][0]\n","    FP = CM[0][1]\n","    TN = CM[0][0]\n","\n","    # Sensitivity, hit rate, recall, or true positive rate\n","    TPR = TP/(TP+FN)\n","    print(f\"Sensitivity:     {TPR*100:.2f}%\")\n","    # Specificity or true negative rate\n","    TNR = TN/(TN+FP) \n","    print(f\"Specificity:     {TNR*100:.2f}%\")\n","    # Precision or positive predictive value\n","    PPV = TP/(TP+FP)\n","    # Negative predictive value\n","    NPV = TN/(TN+FN)\n","    # Fall out or false positive rate\n","    FPR = FP/(FP+TN)\n","    # False negative rate\n","    FNR = FN/(TP+FN)\n","    # False discovery rate\n","    FDR = FP/(TP+FP)\n","\n","    # Overall accuracy\n","    ACC = (TP+TN)/(TP+FP+FN+TN)\n","    print(f\"Accuracy:        {ACC*100:.2f}%\") \n","\n","    # f1 Score:\n","    F1 = TP/(TP + (0.5*(FP+FN)))\n","    print(f\"F1 Score:        {F1*100:.2f}%\") \n","\n","    MCC = ((TP*TN)-(FP*FN))/ (((TP+FP)*(TP+FN)*(TN+FP)*(TN+FN))**0.5)\n","    print(f\"MCC:             {MCC*100:.2f}%\") \n","    \n","    auROC = roc_auc_score(true_labels, pred_proba)\n","    print(f\"auROC:           {auROC*100:.2f}%\") \n","    \n","    metrics = [TPR*100, TNR*100, ACC*100, F1*100, MCC*100, auROC*100]\n","\n","    return metrics"],"execution_count":3,"outputs":[]},{"cell_type":"code","metadata":{"id":"4TZpMgmOOHE7","executionInfo":{"status":"ok","timestamp":1630069569104,"user_tz":-60,"elapsed":198,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}}},"source":["def convert_preds(preds):\n","  model_preds = np.concatenate(np.round(preds), axis=0).tolist()\n","  df = pd.DataFrame({'pred_labels': model_preds})\n","  pred_labels = df.pred_labels\n","\n","  return pred_labels"],"execution_count":4,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"RnaMTQAAvT0t"},"source":["#**Testing on the Veltri Dataset:**"]},{"cell_type":"markdown","metadata":{"id":"3RIBqvG6xEtm"},"source":["##**Import Test Dataset:**"]},{"cell_type":"markdown","metadata":{"id":"htkkS-ZkhxLc"},"source":["###**X Data:**"]},{"cell_type":"code","metadata":{"id":"cdjhx11wh0tg","executionInfo":{"status":"ok","timestamp":1630312932790,"user_tz":-60,"elapsed":187,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}}},"source":["def load_VELTRI_X_data(lang_model):\n","  if lang_model =='BERT':\n","    X_test = np.load('Embeddings/BERT/BERT_VELTRI_X_TEST.npy')\n","  elif lang_model =='BERT_BFD':\n","    X_test = np.load('Embeddings/BERT_BFD/BERT_BFD_VELTRI_X_TEST.npy')\n","  elif lang_model =='T5XL_UNI':\n","    X_test = np.load('Embeddings/T5XL_UNI/T5XL_UNI_VELTRI_X_TEST.npy')\n","  elif lang_model =='T5XL_UNI_INDEP':\n","    X_test = np.load('Embeddings/T5XL_UNI/T5XL_UNI_VELTRI_X_TEST_INDEP.npy')\n","  elif lang_model =='T5XL_BFD':\n","    X_test = np.load('Embeddings/T5XL_BFD/T5XL_BFD_VELTRI_X_TEST.npy')\n","  elif lang_model =='XLNET':\n","    X_test = np.load('Embeddings/XLNET/XLNET_VELTRI_X_TEST.npy')\n","  elif lang_model =='VELTRI':\n","    X_test = np.load('Datasets/VELTRI/X_test_VELTRI_Conv.npy')\n","\n","  # The Veltri method does not require X Test to be reshaped for the model:\n","  if lang_model =='T5XL_UNI_INDEP':\n","    X_test = X_test.reshape(X_test.shape[0], 255, 1024, 1)\n","  elif lang_model !='VELTRI':\n","    X_test = X_test.reshape(X_test.shape[0], 183, 1024, 1)\n","  \n","  \n","  return X_test"],"execution_count":3,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"SuOXmah2h02Z"},"source":["###**Y Data:**"]},{"cell_type":"code","metadata":{"id":"7RkO1bS5xEHe","executionInfo":{"status":"ok","timestamp":1630312948022,"user_tz":-60,"elapsed":490,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}}},"source":["y_test_VELT = np.array(pd.read_csv('Datasets/VELTRI/y_test_Velt.csv', header=None))"],"execution_count":4,"outputs":[]},{"cell_type":"code","metadata":{"id":"Xdee9_PdN0w-","executionInfo":{"status":"ok","timestamp":1630312948022,"user_tz":-60,"elapsed":2,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}}},"source":["y_test_VELT_df = pd.DataFrame({'true_label':np.concatenate(np.round(y_test_VELT), axis=0).tolist()}).true_label"],"execution_count":5,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"F37g3c9fvYJU"},"source":["##**Veltri Model:**\n","This is the model I built using the architecture set out in the Veltri reference paper, and trained on the Veltri dataset."]},{"cell_type":"code","metadata":{"id":"QoP-2a0_vW7_","executionInfo":{"status":"ok","timestamp":1629986896209,"user_tz":-60,"elapsed":9592,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}}},"source":["# Load best saved model built using the Veltri method:\n","veltri_model_VELT = keras.models.load_model('Keras_Models/VELTRI/Best_Veltri_Model_90.6')"],"execution_count":8,"outputs":[]},{"cell_type":"code","metadata":{"id":"8fcFcKD4H_II","executionInfo":{"status":"ok","timestamp":1629986902542,"user_tz":-60,"elapsed":900,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}}},"source":["# Load the X Test data in the manner that the model expects to receive:\n","X_test = load_VELTRI_X_data('VELTRI')"],"execution_count":9,"outputs":[]},{"cell_type":"code","metadata":{"id":"hOa9-Zg8xDXi","executionInfo":{"status":"ok","timestamp":1629986920576,"user_tz":-60,"elapsed":15969,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}}},"source":["# Using the Model to predict values based on the test set:\n","V_mod_pred = veltri_model_VELT.predict(X_test, batch_size=8)"],"execution_count":10,"outputs":[]},{"cell_type":"code","metadata":{"id":"UxMmeSsZIx_B","executionInfo":{"status":"ok","timestamp":1629986924585,"user_tz":-60,"elapsed":186,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}}},"source":["# Converting predictions to binary, serialised format for input to metrics function below:\n","V_mod_pred_labels = convert_preds(V_mod_pred)"],"execution_count":11,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":527},"id":"0YxjAdk_woBF","executionInfo":{"status":"ok","timestamp":1629986927258,"user_tz":-60,"elapsed":1255,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}},"outputId":"807852d5-74cc-4b02-f1f2-38d4a482c787"},"source":["veltri_recreated_metrics = display_conf_matrix(y_test_VELT_df, V_mod_pred_labels, V_mod_pred, 'Veltri Model', 'Figures/VELTRI/Veltri_Model_CM.png')"],"execution_count":12,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 600x400 with 2 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}},{"output_type":"stream","text":["Sensitivity:     88.48%\n","Specificity:     92.70%\n","Accuracy:        90.59%\n","F1 Score:        90.39%\n","MCC:             81.25%\n","auROC:           96.12%\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"t5x16dKEg9Jw"},"source":["##**BERT Model:**"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":527},"id":"Lj-wp3_YhGC9","executionInfo":{"status":"ok","timestamp":1629987012541,"user_tz":-60,"elapsed":65542,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}},"outputId":"0ab6b86a-da9b-4880-eda1-9fac9d4f11a1"},"source":["bert_model_VELT = keras.models.load_model('Keras_Models/VELTRI/Best_BERT_Model_92.06')\n","X_test = load_VELTRI_X_data('BERT')\n","bert_mod_pred = bert_model_VELT.predict(X_test, batch_size=8)\n","bert_mod_pred_labels = convert_preds(bert_mod_pred)\n","bert_VELT_metrics = display_conf_matrix(y_test_VELT_df, bert_mod_pred_labels, bert_mod_pred, 'BERT Model', 'Figures/VELTRI/BERT_Model_CM.png')"],"execution_count":13,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 600x400 with 2 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}},{"output_type":"stream","text":["Sensitivity:     90.31%\n","Specificity:     93.82%\n","Accuracy:        92.06%\n","F1 Score:        91.92%\n","MCC:             84.18%\n","auROC:           97.29%\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"RfkZ8DuhPYQ8"},"source":["##**BERT BFD Model:**"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":527},"id":"9CsQ53hiPVZe","executionInfo":{"status":"ok","timestamp":1629987061028,"user_tz":-60,"elapsed":47443,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}},"outputId":"3f86ecdf-0fac-43a2-aba2-f67cf697d756"},"source":["bert_bfd_model_VELT = keras.models.load_model('Keras_Models/VELTRI/Best_BERT_BFD_Model_92.06')\n","X_test = load_VELTRI_X_data('BERT_BFD')\n","bert_bfd_mod_pred = bert_bfd_model_VELT.predict(X_test, batch_size=8)\n","bert_bfd_mod_pred_labels = convert_preds(bert_bfd_mod_pred)\n","bert_bfd_metrics = display_conf_matrix(y_test_VELT_df, bert_bfd_mod_pred_labels, bert_bfd_mod_pred, 'BERT BFD Model', 'Figures/VELTRI/BERT_BFD_Model_CM.png')"],"execution_count":14,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 600x400 with 2 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}},{"output_type":"stream","text":["Sensitivity:     91.99%\n","Specificity:     92.13%\n","Accuracy:        92.06%\n","F1 Score:        92.06%\n","MCC:             84.13%\n","auROC:           97.55%\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"wwYpWqYeRwTK"},"source":["##**T5XL UNI Model:**"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":527},"id":"mO_EILcER4Au","executionInfo":{"status":"ok","timestamp":1629987209116,"user_tz":-60,"elapsed":147546,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}},"outputId":"f47a6bb9-5c8f-450d-a805-c357e1a944a7"},"source":["t5xl_uni_model_VELT = keras.models.load_model('Keras_Models/VELTRI/Best_T5XL_UNI_Model_93.33')\n","X_test = load_VELTRI_X_data('T5XL_UNI')\n","t5xl_uni_mod_pred = t5xl_uni_model_VELT.predict(X_test, batch_size=8)\n","t5xl_uni_mod_pred_labels = convert_preds(t5xl_uni_mod_pred)\n","t5xl_uni_metrics = display_conf_matrix(y_test_VELT_df, t5xl_uni_mod_pred_labels, t5xl_uni_mod_pred, 'T5XL UNI Model', 'Figures/VELTRI/T5XL_UNI_Model_CM.png')"],"execution_count":15,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 600x400 with 2 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}},{"output_type":"stream","text":["Sensitivity:     92.28%\n","Specificity:     94.38%\n","Accuracy:        93.33%\n","F1 Score:        93.26%\n","MCC:             86.68%\n","auROC:           97.89%\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"PN84iXlhSLwq"},"source":["##**T5XL BFD Model:**"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":527},"id":"hxBsfGIFSQVu","executionInfo":{"status":"ok","timestamp":1629987310215,"user_tz":-60,"elapsed":99958,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}},"outputId":"5e804aa1-11aa-4392-febe-178279559515"},"source":["t5xl_bfd_model_VELT = keras.models.load_model('Keras_Models/VELTRI/Best_T5XL_BFD_Model_92.21')\n","X_test = load_VELTRI_X_data('T5XL_BFD')\n","t5xl_bfd_mod_pred = t5xl_bfd_model_VELT.predict(X_test, batch_size=8)\n","t5xl_bfd_mod_pred_labels = convert_preds(t5xl_bfd_mod_pred)\n","t5xl_bfd_metrics = display_conf_matrix(y_test_VELT_df, t5xl_bfd_mod_pred_labels, t5xl_bfd_mod_pred, 'T5XL BFD Model', 'Figures/VELTRI/T5XL_BFD_Model_CM.png')"],"execution_count":16,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 600x400 with 2 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}},{"output_type":"stream","text":["Sensitivity:     88.62%\n","Specificity:     95.79%\n","Accuracy:        92.21%\n","F1 Score:        91.92%\n","MCC:             84.63%\n","auROC:           97.41%\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"ZwsUuQ8fSd6F"},"source":["##**XLNET Model:**"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":527},"id":"1jbiUu8DShPu","executionInfo":{"status":"ok","timestamp":1629987410345,"user_tz":-60,"elapsed":98834,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}},"outputId":"b1b99d2e-8c99-4008-ec9e-a72f776f5dfb"},"source":["xlnet_model_VELT = keras.models.load_model('Keras_Models/VELTRI/Best_XLNET_Model_89.75')\n","X_test = load_VELTRI_X_data('XLNET')\n","xlnet_mod_pred = xlnet_model_VELT.predict(X_test, batch_size=8)\n","xlnet_mod_pred_labels = convert_preds(xlnet_mod_pred)\n","xlnet_metrics = display_conf_matrix(y_test_VELT_df, xlnet_mod_pred_labels, xlnet_mod_pred, 'XLNET Model', 'Figures/VELTRI/XLNET_Model_CM.png')"],"execution_count":17,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 600x400 with 2 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}},{"output_type":"stream","text":["Sensitivity:     88.48%\n","Specificity:     91.01%\n","Accuracy:        89.75%\n","F1 Score:        89.62%\n","MCC:             79.52%\n","auROC:           95.78%\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"X57_Jk1uv6eU"},"source":["##**T5XL Uni Model - Trained on Independent Training and Validation Data:**"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":527},"id":"-VGaLTDlwBnK","executionInfo":{"status":"ok","timestamp":1630070499293,"user_tz":-60,"elapsed":128877,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}},"outputId":"60f6c487-0d16-44b2-d9be-51acd836903d"},"source":["T5XL_UNI_model_INDEP = keras.models.load_model('Keras_Models/INDEP/Best_T5XL_UNI_Model_88.26')\n","X_test = load_VELTRI_X_data('T5XL_UNI_INDEP')\n","T5XL_UNI_mod_pred = T5XL_UNI_model_INDEP.predict(X_test, batch_size=8)\n","T5XL_UNI_mod_pred_labels = convert_preds(T5XL_UNI_mod_pred)\n","T5XL_UNI_metrics = display_conf_matrix(y_test_VELT_df, T5XL_UNI_mod_pred_labels, T5XL_UNI_mod_pred, 'T5XL UNI Model - Trained on INDEP Data', 'Figures/VELTRI/T5XL_UNI_INDEP_Model_CM.png')"],"execution_count":19,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 600x400 with 2 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}},{"output_type":"stream","text":["Sensitivity:     88.62%\n","Specificity:     90.87%\n","Accuracy:        89.75%\n","F1 Score:        89.63%\n","MCC:             79.51%\n","auROC:           95.51%\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"omzT8OQNVFwS"},"source":["## **Creating Dataframe of Metrics:**"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":235},"id":"_SWRGh8SzDGq","executionInfo":{"status":"ok","timestamp":1629987414391,"user_tz":-60,"elapsed":182,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}},"outputId":"6a8019fb-fc89-4540-80ed-ca21ef3b0b81"},"source":["metrics_VELTRI_dataset = pd.DataFrame({'Veltri Recr. - DNN*':veltri_recreated_metrics, 'BERT - DNN':bert_VELT_metrics, 'BERT BFD - DNN':bert_bfd_metrics, \n","                           'T5XL UNI - DNN':t5xl_uni_metrics, 'T5XL BFD - DNN':t5xl_bfd_metrics, 'XLNET - DNN':xlnet_metrics\n","                            }).T.rename(\n","                        columns={0: \"Sensitivity (%)\", 1: \"Specificity (%)\", 2: \"Accuracy (%)\", \n","                                 3: \"F1 Score (%)\", 4: \"MCC (%)\", 5: \"auROC (%)\"})\n","metrics_VELTRI_dataset"],"execution_count":18,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Sensitivity (%)</th>\n","      <th>Specificity (%)</th>\n","      <th>Accuracy (%)</th>\n","      <th>F1 Score (%)</th>\n","      <th>MCC (%)</th>\n","      <th>auROC (%)</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>Veltri Recr. - DNN*</th>\n","      <td>88.483146</td>\n","      <td>92.696629</td>\n","      <td>90.589888</td>\n","      <td>90.387374</td>\n","      <td>81.251932</td>\n","      <td>96.115449</td>\n","    </tr>\n","    <tr>\n","      <th>BERT - DNN</th>\n","      <td>90.308989</td>\n","      <td>93.820225</td>\n","      <td>92.064607</td>\n","      <td>91.922802</td>\n","      <td>84.181122</td>\n","      <td>97.293192</td>\n","    </tr>\n","    <tr>\n","      <th>BERT BFD - DNN</th>\n","      <td>91.994382</td>\n","      <td>92.134831</td>\n","      <td>92.064607</td>\n","      <td>92.059030</td>\n","      <td>84.129296</td>\n","      <td>97.548053</td>\n","    </tr>\n","    <tr>\n","      <th>T5XL UNI - DNN</th>\n","      <td>92.275281</td>\n","      <td>94.382022</td>\n","      <td>93.328652</td>\n","      <td>93.257630</td>\n","      <td>86.676541</td>\n","      <td>97.889215</td>\n","    </tr>\n","    <tr>\n","      <th>T5XL BFD - DNN</th>\n","      <td>88.623596</td>\n","      <td>95.786517</td>\n","      <td>92.205056</td>\n","      <td>91.915513</td>\n","      <td>84.627493</td>\n","      <td>97.412140</td>\n","    </tr>\n","    <tr>\n","      <th>XLNET - DNN</th>\n","      <td>88.483146</td>\n","      <td>91.011236</td>\n","      <td>89.747191</td>\n","      <td>89.615932</td>\n","      <td>79.519798</td>\n","      <td>95.781783</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                     Sensitivity (%)  Specificity (%)  ...    MCC (%)  auROC (%)\n","Veltri Recr. - DNN*        88.483146        92.696629  ...  81.251932  96.115449\n","BERT - DNN                 90.308989        93.820225  ...  84.181122  97.293192\n","BERT BFD - DNN             91.994382        92.134831  ...  84.129296  97.548053\n","T5XL UNI - DNN             92.275281        94.382022  ...  86.676541  97.889215\n","T5XL BFD - DNN             88.623596        95.786517  ...  84.627493  97.412140\n","XLNET - DNN                88.483146        91.011236  ...  79.519798  95.781783\n","\n","[6 rows x 6 columns]"]},"metadata":{"tags":[]},"execution_count":18}]},{"cell_type":"code","metadata":{"id":"51T4rYdXWinv","executionInfo":{"status":"ok","timestamp":1629987418521,"user_tz":-60,"elapsed":461,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}}},"source":["metrics_VELTRI_dataset.to_csv('Results/VELTRI_DATASET_ALL_MODEL_METRICS.csv')"],"execution_count":19,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"ZMdtKpXKWIcL"},"source":["#**Testing on the Independent Dataset:**"]},{"cell_type":"markdown","metadata":{"id":"Tw3vw82LW0Ol"},"source":["##**Import Test Dataset:**"]},{"cell_type":"markdown","metadata":{"id":"MIq_5rMgW71x"},"source":["###**X Data:**"]},{"cell_type":"code","metadata":{"id":"po2PG3LGWJ88","executionInfo":{"status":"ok","timestamp":1630327025149,"user_tz":-60,"elapsed":203,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}}},"source":["def load_INDEP_X_data(lang_model):\n","  if lang_model =='BERT':\n","    X_test = np.load('Embeddings/BERT/BERT_INDEP_X_TEST.npy')\n","  elif lang_model =='BERT_BFD':\n","    X_test = np.load('Embeddings/BERT_BFD/BERT_BFD_INDEP_X_TEST.npy')\n","  elif lang_model =='T5XL_UNI':\n","    X_test = np.load('Embeddings/T5XL_UNI/T5XL_UNI_INDEP_X_TEST.npy')\n","  elif lang_model =='T5XL_BFD':\n","    X_test = np.load('Embeddings/T5XL_BFD/T5XL_BFD_INDEP_X_TEST.npy')\n","  elif lang_model =='XLNET':\n","    X_test = np.load('Embeddings/XLNET/XLNET_INDEP_X_TEST.npy')\n","  elif lang_model =='VELTRI':\n","    X_test = np.load('Datasets/INDEP/X_test_VELTRI_Conv.npy')\n","\n","  # The Veltri method does not require X Test to be reshaped for the model:\n","  if lang_model !='VELTRI':\n","    X_test = X_test.reshape(X_test.shape[0], 255, 1024, 1)\n","  \n","  return X_test"],"execution_count":4,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"hJrMQMw0XA4G"},"source":["###**Y Data:**"]},{"cell_type":"code","metadata":{"id":"vceg7nZQXCqx","executionInfo":{"status":"ok","timestamp":1630319974826,"user_tz":-60,"elapsed":850,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}}},"source":["y_test_INDEP = pd.read_csv('Datasets/INDEP/y_test.csv', header=None)[0]"],"execution_count":15,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"w-a_odshXraU"},"source":["##**Veltri Model:**"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":527},"id":"gbKLCbO0XShw","executionInfo":{"status":"ok","timestamp":1629987441145,"user_tz":-60,"elapsed":9907,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}},"outputId":"243e042f-8c9e-4a0a-e346-00175bb6b35e"},"source":["# Load best saved model built using the Veltri method:\n","veltri_model_INDEP = keras.models.load_model('Keras_Models/INDEP/Best_Veltri_Model_80.7')\n","# Load the X Test data in the manner that the model expects to receive:\n","X_test = load_INDEP_X_data('VELTRI')\n","# Using the Model to predict values based on the test set:\n","V_mod_pred = veltri_model_INDEP.predict(X_test, batch_size=8)\n","# Converting predictions to binary, serialised format for input to metrics function below:\n","V_mod_pred_labels = convert_preds(V_mod_pred)\n","# Displaying and Saving Metrics\n","veltri_recreated_metrics = display_conf_matrix(y_test_INDEP, V_mod_pred_labels, V_mod_pred, 'Veltri Model', 'Figures/INDEP/Veltri_Model_CM.png')"],"execution_count":22,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 600x400 with 2 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}},{"output_type":"stream","text":["Sensitivity:     75.98%\n","Specificity:     85.11%\n","Accuracy:        80.55%\n","F1 Score:        79.61%\n","MCC:             61.34%\n","auROC:           85.82%\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"KO28d0kHZQYe"},"source":["##**BERT Model:**"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":527},"id":"HbcMWkLxZPwZ","executionInfo":{"status":"ok","timestamp":1629987569627,"user_tz":-60,"elapsed":128485,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}},"outputId":"cb07d858-cc0a-4b6c-a76c-f7ec01764be3"},"source":["BERT_model_INDEP = keras.models.load_model('Keras_Models/INDEP/Best_BERT_Model_84.67')\n","X_test = load_INDEP_X_data('BERT')\n","BERT_mod_pred = BERT_model_INDEP.predict(X_test, batch_size=8)\n","BERT_mod_pred_labels = convert_preds(BERT_mod_pred)\n","BERT_metrics = display_conf_matrix(y_test_INDEP, BERT_mod_pred_labels, BERT_mod_pred, 'BERT Model', 'Figures/INDEP/BERT_Model_CM.png')"],"execution_count":23,"outputs":[{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAfkAAAGYCAYAAABBHpsbAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOzdeZxN9R/H8ddnBmPfdyoi2kPLL2tKQitatK+IpFAprbZCZalEhSyVUimljSjtEUUlKkqWrNm3wcz398e5M+5cd8bcO5s59/30OA/3fs/3fL/fc+fe+7nf7/mec8w5h4iIiPhPXF43QERERHKGgryIiIhPKciLiIj4lIK8iIiITynIi4iI+JSCvIiIiE8pyIuIiPiUgryIiIhPKciLiIj4lIK8HMLMrjWzRWa228ycmW3NwbqaB+pwZjYhp+rxIzObE/Ta1cjr9kjOMLMJQX/n5nlVhuRPCvJHCDMrZmY9zexLM/vPzPaa2d9m9oGZXW9mhXKpHQ2BV4FTgSK5UeeRwsz6Bn0ROjObGSbP6SF5nJkVjrK+toE6++b3IG1mK8K8LnvM7C8zm2RmJ4Tkbx4mf+hS7zDl7zWzZWY22syqRVBuyrLiMPs0JyT/g2Hy3BOS5/tseklFskWBvG6AgJmdCEwHjg1ZVSOwXAT8CizMheZcBFjg8YvAa8D+HKzvJ6Bp4PH6HKwnGi3M7Bjn3D9BaZ2ysfy2wE2Bx3OAFRFu3x0oFXi8NnualK0KAzUDS1szq+ec+ysby08AagWWC83s5GwsO5xbzWyQS3vDj445XKdIlijI5zEzKwt8DBwdSPoXeAr4BSgBnAPckotNqhr0eIpz7qucrMw5tw34OifryII44DbgUfBGW4Br87RFgXY453Y5537J67ak4y68H29VgBF476kSwI1A3zD51wFXhkn/M4Pyf8YbbRoKFMT7/FyG92O5aVDe+sCz6dSz97B7klYt4FzgMwAzawocH2EZIrnLOaclDxfgCcAFlq1AtTB5KgJlg54XAu7H69nvAnYDi4AHgEIh264IKr8y8AqwBdgBTEkpF2/EwKWzzAnkSXm+IqSOOUHragSlX44XwLcB+/C+ZL8GhgAWyNM8aNsJIeVWxvuCXg4kBl6fOcCVIfmC2z4HOBP4PPC6rAMGAnGZ+Fv0DSpne+D/VSnbAreGrEtZCgeVMRT4Fq9nnQjsBH4E7gUKZOK1dkDz0NcbOAX4NFDenHCvO94IzOygtIuC2jUqKL1PDryPV4S2P5D+VFD6C0HpwX/3FVko//2M9ivSejJ4X6f8zScHrZ8U5v3wfUgZmf6sBvLfifd+3wPMA84DJoTb90D+poHXYCPeZ+xvYBhQJiRfumVo8feS5w2I9SXwgU758D2WifwJwBcZBIgvgr88Qr4cl4fJ/2ogX40MypwTyJPpII83ApGUQZkpAS/4S3hCUJk18QJletsPDsob3PZ/A1+kofk7ZuK17RuUf3zgS9MBFwbWfx94/mJI2cFBfm8GbX45E691uCC/FdgU5u8R7nWvgfcDzgX+9sWAxkByIG0uEJ8D7+MVYdpfCS9QpaTfGZQ/+O++IpryA+nTg9JvCrNdRPVk8L5+KfD/HqBMYEl5nwW/H74P2j7Sz+q9YfLsA35LZ987kv5nbClBgR4F+ZhdNPEuD5lZcdIeh8/M0HgPoFng8Sq84eNrgJWBtGZAz3S2LQJcD9yB9+UBcLWZlcILqE3xDh2kuCuQ1j0T7Qp1CQcndj4ItACuxutVp3xpZWQUXk8evC/bS4FeHBxivd/M/hdmuyp4PefLODhMC3B7ZM1nPfBB4HFHMzsFSKlvbAbbPY7392iNF2Da4wVWgJvNrDoZv9ZN8Ya6g5XC+zLvDLTKqH7n3ArgvsDTY4BBeAHK8F67m5xzSRm0Pzt8bmYObxTlzEDaLGBcOvmPiXBS3Clm1szMuuO9HgAbgHezo/HpmI73nigM3ID3OSoCbAbeSWebTH9WzawM0D9o2+fw5sdMAdJMWgzkrwaMxPuM7cD7jLbC+3EKUBdvlFBiXV7/yojlBahG2l/fx2dim0VB+S8OSr84KH1hUPqKoPS2QekfB6WfFpQ+gXR+8QelrwhJnxO0rkYgbVBQ2hVAuXT2p3lQvgmBtLIc7HnuDd4WeDoo/4hAWo2gtESgUiA9Dm+I1AFbMvHa9g0qZzBwIQd7U1MCjxeFvBahPfnGwDS8QL4/JJ8DLs3Max2mjpZh1h/yuget+zRM3b0y8RokAE1Cl0xstyJMfcHLh6Q95NT8MPlD32MZlf856Xx2yL6efGvgycDjnwOLA54JqSO4J5/pzypwVVDavKC88cA/oe8TvB8QKWkvB/2tmnLwPb+Vg4eaMnyvafHvool3eWtbyPOqeMNsGakT9Hhu0ON56eQJ9kXQ4/+CHpc+TJ3ReA2vl5IAvAVgZhuAb4BRzrlZGWx7HAdn+C93zgW39XD7udQ5tx7AOZdsZluAokS3j5/g9cCOwvsSBhiTXmYzOwsv4BTMoMxo2rHXOfdphNvchjdiUizw/Hu8SXCHU4XwI0oWJi09KRPvSuIFo5Z4P5jGAe3C5A838S6SSXGn4v0wzGlj8UZJTglKGwOUTyd/JJ/V4BG9H1IeOOeSzGwBByfmhiv7FsJPzi2F952yOp32SQzQcH0ecs7tBIJPKWqcleIyUd+WoKcHgh5H8gUOXu8i2CFfcs65X4HT8YbM5+L9oKmI9yU/w8waRVhnatGHWb8l5PmBsLkyU5FzyRwc/gQv8LyawSZdOBjgP8ALbE3xJmiliOYztyGKbY7B+3GT4mi8oJsbfnHOfe2c+whvaDvFpelcUyAxkD94mZ9B+efiBbDnAs/LAlPMLEev6+Cc+wP4MihpbuB9HnFROZw/WLHDZxE/U5DPe1OCHvcys6qhGcysYuBUO4A/gladFfQ4+Ph0cJ7slDLyUM7MCgbaVoMwpxGZmTnnFjvn7nbOne2cK403bA/e+65tBvUs4+AXWy0zKxe0Ljf2M9jLeIcOAKY65zK6+l+1oMd9nHMfO+e+xpuAFk5y0OOMPosRfcmbWVG8HyeGdywfvB7dYXvyzrkVzjkLXSKpP7Q5QY/jyKZRI+fcdrw5Gimn2VUn8nkX0RibzuNwIvmsBv/YPyPlgZnFBz9Pp+x+6fzNijnnfj9MG8XnNFyf954GrsPraZUG5prZ0xw8T7453lBcc7xJPpPxhicBnjezEhw8hpzi9Rxq6zK83nkRYLKZfYk3iS+0Zw/QO3D5zA/xJhrt4uAkKfCG8cNyzv1nZjPwjoMmAG+a2XC885TvCMqaU/sZ3JZ/zKwb3iTAtw+TPfiiOX3MbCLQhrT7HSx41OF6M0sCkgI/DLJiCN5rBd5w+WXA+cBNZvaWc+7DLJZ/OKeY2QG8kYO7gtK34p3qFSrBzJqESf/DOZfuKIZz7oCZDQVeCCT1NLORzrmoR28y4W28oXUD3jhM3kg+q5/ijRQVBs4ysxHADLzJqqFD9SntGIz3+XggMNHxO7zRm5p4ox1F8A6VSCzL60kBWhzAiYQ/vS14qRfIm4A3ZJhevnRPoQupc0LQNs0Plx5Y1zlMfTvwjlunmQAGPJxBG5OAxoF8zYPSJwTVdSzRnUI3J6TNYfc/nb9D33Dlp5M3uC2FA2lncXDCYMqSjHfefMrzm4PKuJgw+xamjhXptGFOmNe9eVAbvsXrPdfEO7/eAWuA0jnwHl4Rbl9Cll5B+ZtnIv/N6ZQf/H4tgvfDIWXddSHtCq4n7OuYwT4Fv76tM8gXXEfoKXSRfFbvD5MnibTfDcH7ntEpdGk+C2jiXcwuGq4/AjjnfsP7xd8L72Ixm/FmdK/C+zV/E94kKpxziXi/zh/Am+G7B68H8AvQB7jAObePnDEWb9b8hkC9n+Edc14eJu9HeOcP/4rXY00K7NdMoJVz7puMKnLe5U8b4J0m9DfeTPXteF+aHZxzD2TD/mQr59w8vDkHv+D9TRbjTSg75Br4gfwf4J0bvZwszB1IEbgi38t4vcz9QCfnXLJz7m/goUC2qqQ9tTAnJeNN8JwFXOWcG5bdFTjn9uCdbpnivvTy5rZIP6vOuSHA3Xg/aBLxLqBzGemcWuucG4t3Gt47eKf3HQj8Pw8YQNpRL4lRKVcdExEREZ9RT15ERMSnFORFRER8SkFeRETEpxTkRUREfEpBXkRExKcU5EVERHxKQV5ERMSnFORFRER8SkFeRETEpxTkRUREfEpBXkRExKcU5EVERHxKQV5ERMSnFORFRER8SkFeRETEpxTkRUREfEpBXkRExKcU5EVERHxKQV5ERMSnFORFRER8SkFeRETEpxTkRUREfEpBXkRExKcU5EVERHxKQV5ERMSnFORFRER8SkFeRETEpxTkRUREfKpAXjcgJ1xqF7u8boNITnvzwPt53QSRHFc4Ps5ysvysxIv33Qc52rbs4MsgLyIikhlxPh/Q9vfeiYiIxDD15EVEJGaZHfEj7lmiIC8iIjHL78P1CvIiIhKz4tSTFxER8SdTT15ERMSf1JMXERHxKb/35P29dyIiIjFMPXkREYlZGq4XERHxKZ1CJyIi4lO6GI6IiIhPqScvIiLiU34/Ju/vnzAiIiIxTD15ERGJWTpPXkRExKfiLC7qJVJm1s3MVpjZXjOba2ZnHSZ/DzP73cz2mNkqMxtuZoUjqVM9eRERiVlG7hyTN7MOwDCgCzAX6AHMMLO6zrkNYfJfCwwGbgW+BeoAEwAH9MpsverJi4hIzMrFnnwvYIxzbrxz7je8YL8bL4iH0wj4xjk32Tm3wjk3E3gdyLD3f8j+RdpKERERv4jDol7MLMHMSoYsCaF1mFkh4HRgVkqacy458LxhOk37Fjg9ZUjfzI4FLgQ+imz/REREYlT0IT4OoA+wLWTpE6aa8kA8sD4kfT1QOVy7nHOTgUeBr81sP7AcmOOceyKS/VOQFxERic4goFTIMig7Cjaz5sCDwB1AA6A9cJGZPRJJOZp4JyIiMSsrF8NxziUCiZnIuglIAiqFpFcC1qWzzQDgFefc2MDzX8ysGPCSmT0eGO4/LPXkRUQkZsVl4V9mOef2AQuAFilpZhYXeP5dOpsVBUIDeVLK5pmtWz15ERGJWbl4g5phwEQzmw/MwzuFrhgwPtCOScAa51zKMf3pQC8z+wnvlLvaeL376c65pNDC06MgLyIiMSu3blDjnJtiZhWA/niT7RYCrZ1zKZPxjiZtz30g3jnxA4FqwEa8wP9QJPUqyIuISMzKzRvUOOdGAiPTWdc85PkBoF9giZqOyYuIiPiUevIiIhKz/H6DGgV5ERGJWX6/n7yCvIiIxCz15EVERHwqmlvG5icK8iIiErPiculWs3lFQV5ERGKW+bwn7++9ExERiWHqyYuISMzScL2IiIhPaeKdiIiIT5l68iIiIj4VpyAvIiLiTz6/4p2/D0aIiIjEMPXkRUQkZpmG60VERHzK58P1CvIiIhK71JMXERHxKQV5ERERfzIN14uIiPiUz3vyOoVORETEp9STFxGR2KXhehEREZ/y+XC9gryIiMQu3YVORETEn3TFOxEREb9SkBcREfEpn0+88/fBCBERkRimnryIiMQuDdeLiIj4ky5rKyIi4lfqyYuIiPiUz3vymngnIiKxK86iXyJkZt3MbIWZ7TWzuWZ2VgZ555iZC7N8GNHuRdxKERERiYiZdQCGAf2ABsAiYIaZVUxnk/ZAlaDlZCAJeCuSehXkY0BcXBzX9b+eMX+N5a3dU3lx2Rg6PHx1uvm7ju7G++4DLr370gzLLVK8CB2Hd2Lsipd5a/dUhnzzFLXPOC5NnobtGtJvRn9e3TSZ990H1Dyt5iHl3Dq0I6/99zrjVo7nnGubp1nX+IrGPPz+o5nfWYlZC+b/QPc7unL+Oc047cQT+GzWrDTrH3mwD6edeEKapWvnToct943Jr9Hm/BacWe80ruvQgV9+/jnN+lUrV9Kj+500b9yIRmeewX09e/Lfpk2p6/ft28eD9/em0ZlncEmb1nz/7bdptp8wbhyDBg7Mwp5LluReT74XMMY5N9459xvQBdgN3Bous3Nus3NuXcoCtAzkV5CXtC6//3LadG3Di3e+QLcTujLx/gm0692ei7tfckjes9s2pO7ZdflvzX+HLffOsd2p17Iew28Yyl2n3MnCmT8xYNZAylYtl5onoVhhfvv6NybePyFsGWdefBbnXHsOj13wCBN7j+fOsd0pUa4kAEVLFuX6x2/khW6jo9txiSl7du+hbt269HnkkXTzNG7SlNlffJm6DHnq6QzL/OTjj3h6yBBuv6Mbb7w9lbrH16Vr507895/3+di9ezddOnXEzBgzfgITX5vM/v376d7tDpKTkwF4+803WbL4NyZNfp0rrryKB3rfh3MOgNWrVzP17bfo3qNHNr0KEikzy8qSYGYlQ5aEMHUUAk4HUn95OueSA88bZrKptwFvOOd2RbJ/CvIx4PhGJzD3vbnM/2g+G/7ZwLdTv2HhzJ+oc1adNPnKVi1H5+duZ+h1T3Ng/4EMyyxUuBCNLm/MhN7jWfzVYtYuX8vr/Sazdtla2nRtk5pvzqufM2XAGyyatTBsOUedcBS/zPmFZQuW8eUbX7Jn+24q1awEwM1P3sLHoz9i06qNWXwFJBY0adaMO+/uQYvzW6abp1ChQpSvUCF1KVmqVIZlvjJhIu2vvJK27dtTq3ZtHn6sL4ULF2baO+8AsPCnn/h3zRoGPDGI4+rU4bg6dRgwaBC//for877/HoC//1rOOeedS+3jjqPDtdeyZfNmtmzZAsDj/fvR4557KF68eDa9ChKxrPXk+wDbQpY+YWopD8QD60PS1wOVD9fEwLH7k4GxEe9epBtI/rP02yWc2uI0qh5XFYAap9bkxCYnsuDjBal5zIxer/Ti3afeYdVvKw9bZnyBeOILxLNv7/406fv2JHJik5My3ba/F/3NcWfUpljpYtRqUItCRRJYu+xfTmh8IrUa1OKDZ6dnuiyRw5n/wzyaN2nMpRe2YWC/vmzduiXdvPv37WPJb4s5++yDHa24uDjObtiQnxd6P1r37duHmVGoUKHUPAkJCcTFxfHTjz8CUKfu8fz044/s3buXb7/+mgoVKlCmTBk+nD6dhEIJGf4okVxgFv0Cg4BSIcugHGjlbcAvzrl5kW6oU+hiwNuD36ZIyaKMWvoCyUnJxMXH8epDr/DF5DmpeS6//wqSDiQx/dn3M1Xmnp17WPLtEjo8cjWrl6xi6/qtNLumGXUbHs/aZWsz3bafZv7InFfnMOyH4STu2ceIm4aTuCuRrqPv4Jmbh9Om64Vc1P1idmzazsjOIzP1A0QknEZNmtDi/JZUq16dVStX8tyIEdxx++28Mvl14uPjD8m/ZetWkpKSKFe+XJr0cuXK8fdffwNw6mmnUaRIEUYMfZruPXrinOOZYcNISkpi40ZvBKpt+/b8+cfvtLvkYsqUKcOTw4azfds2Ro18jnETJjLymRF88tHHVD/6KPoNfJxKlSrl/IshB2XhPHnnXCKQmImsm/AmzYX+cSsB6zLa0MyKAVcDUU1OUpCPAU2uaso51zVn6LVPs3LxP9SsdywdR3Ri87//8dmkz6jVoBaX3H0pPRvcHVG5w28Yyl0v382EfyeRdCCJ5T8u56vXv6TW6bUjKuf1fpN5vd/k1OdXP3oNi2YtJGl/Elc93IHup3TjzIvPouekXvQ6Q8cuJTptLrwo9fFxdepQp25dLmp1AfPnzeN/DTN7WDStsmXL8tTwETzevx+TX32VuLg4Wl94ISeceCJxgeBRsGBBHnwk7ffzIw8+yLXXX8/SJUv4bPZs3nz3XSaMG8eQJx5n2DPPRr+TErHcuOKdc26fmS0AWgDTAvXGBZ6PPMzmVwIJwKvR1K0gHwNufuoWpg5+m6+mfAnAP7/+Q8VjKnJFnyv5bNJnnNT0JEpVLMW4leNTt4kvEM8tQ2/jkh6X0anmbWHLXffXOh5s3oeEogkULVmULeu2cN8bvVn3V4Y/TDNUrW51ml9/Lj3q38X5t7Zk8Ze/sn3Tdr5+8yvuHt+DIsWLsGfnnqjLF0lR/aijKFOmDCtXrgwb5MuULk18fDz/bUo7CfW///6jfPnyqc8bNW7MhzNmsmXLFuLj4ylZsiTnNW1K9TZHha133ty5LF++jL4DBjDs6ado2qwZRYsW5YLWrXnjxteydyflSDIMmGhm84F5QA+gGDAewMwmAWucc6HH9G8DpjnnDj8bOgwF+RiQUDQBF5jpmyI5KRmL86ZkfP7K5yyctSjN+n4z+vP5K58xe3za05DCSdydSOLuRIqVLkb9Vg2Y2Hv8YbdJT7cXuzGu11j27tpLXHwc8QW9t2iBwP9x8ZpGItlj/bp1bN26lQoVKoRdX7BQIU448STmfv89551/PgDJycnM/f57rr72ukPylylTBoC533/P5s3/0fy88w7Jk5iYyKABA3jiySeJj48nOSmZA4GZ9gcOHEidkS+5KJcua+ucm2JmFYD+eJPtFgKtnXMpk/GOBtK8AcysLtAEuCDaehXkY8AP0+dx5UMd2LhyIysXr+TY+rW4rFdbZr38KQA7Nu9gx+YdabY5sP8AW9dtYc0fa1LTBsx6nO/f/Y4Pn/8AgPoXNMAM1vy+hiq1q3DzU7eyZulqZgX9MChepjgVjq6QelpdtbrVAdiybgtb129NU+cFHVuxbeN2fvjAm1uy5JslXNP3Wur+ry4N2pzOysX/sGtbRGePSAzZvWsXK1cenLOxZs1qli5ZQqlSpShVqhQvjBrF+Re0pFz5CqxeuZLhQ5/mqKOPplGTJqnbdLrlFs47/3yuuc4L4jfcfBOP9OnDSSefzMmnnMKrkyaxZ88e2rZrl7rNtHfe4dhax1KmTFkWLVzIk4Oe4Pobb6JGzUOvCfHS6NE0adaME048EYB69esz/OmnuKxde96Y/Br16tfPqZdH0pOL1653zo0kneF551zzMGm/A1lqoIJ8DHip+4tcN+B6uoy6g1IVS7H538188uLHTOn/RkTlVK5VmZLlS6Y+L1qqKDcOuony1cuzY/MOvpv6La885B2fT3HWpf+jx4Seqc97T7kfgNf7pj0OX7piaa586Crub3RfatqfP/zBtKHv8siHj7FtwzZG3DQ84n2X2LF48WI63nxT6vOnhwwB4NK2bXno0cf444/fef+9aezYvoOKFSvQsHFjunW/K83M+NWrVrJ1y8EZ963bXMiWzVsY9dyzbNq0ibrHn8CoF1+iXNBw/YoVf/Ps8OFs27aNqtWq0vH2Ltxw08F2pPjzzz+Y+cnHTHnn3dS0lq1aMf+Hedxyw/UcU7Mmg598KltfE8kEn1+73lIuypAnlZuVx7vaT0MOniu4DvgWmOCci+oE6Uvt4rzbKZFc8uaBzJ0JIZKfFY7P2a724GZjoo4XD3zZ6Yj/hZBnBzjN7EzgD+AuvAsIfBlYtgXSlprZGXnVPhER8b+sXPEuP8jL4frn8K7B28WFDCeY9+q9EMiT4bktgUsIprmM4IW0Jp5Dz3sVERGJJXk5Vfk0YHhogAcIpA0H6mWinEMuK7iM5dnZThER8atcvNVsXsjLIL8OSPdeuoF1odf5DeeQywrWplbWWyciIv6XtcvaHvHycrj+aeAlMzsdmM3BgF4J7ypAnYB7D1dIuMsKXmoXZ29LRUTEn/JJjzxaeRbknXPPm9kmoCdwB6QeRE8CFgA3O+fezKv2xYqTmp5Eu/sup9bptShXtRyPtx3I3Pe+Tzd/w3YNadP1QmrWO5aCCQVZuXglr/edzE8zf0zNM+bvcVSqcej1tz98/gNevPMFKh5TkbErXg5b/pArB/HN299kfcdEMmHcSy8xe9an/P3XXyQULky9evXpcc89qee4b9u6lVEjR/Ldt9+wbu1aypQpy7ktWtDtrrsoUaIEAO+9+y6PPvRg2PI/++prypUrF3adHCH8HePz9jx559wUYIqZFcS7FR/AJufc/gw2k2yUUKwwfy/6i1kvf8qD7z502PwnNTuZhZ8uZNKDk9i1dRfn33I+D09/hPv+dw9/LfwLgHvO7JnmynTHnHwMA2Y9zjdvecF706pN3Fj5+jTlturcmnb3tU9zZzyRnDZ//g90uOZaTjr5ZJKSknhuxHC6dLyNd6Z/QNGiRdmwcQMbN26g1329qVWrFv/++y8D+/Vl48YNDB3xDACt2rShcdAFdQAeeehB9iUmKsDnB/lk2D1aR8TFcAJBPfO3LpNs8+MnC/jxk8wH1rE9x6R5/spDk/jfZf/jzEvOSg3y2zdtT5PnigeuZO2yf/n1i18A79KgoVe7a9iuId+8+TV7d+2NZjdEojL6pbTv5/5PDOLcJo1Z8ttiTj/jTI47rk6aG8YcdfTRdL+7Bw/e35sDBw5QoEABChcuTOHChVPzbN68mXnfz6XvwAG5th8SPfP5cL0uBC5ZYmYUKVGEnZt3hl1foGABml/fPPUSuuHUalCLY+vX4tNxM3OqmSKZsnOHd3nnkqVKpZ9n5w6KFy9OgQLh+0jT33uPIkUK0/KCVjnSRpFIHBE9ecm/2t3bnsLFi/D1m1+FXf+/tmdTrHRxZk+YnW4ZLW+7gJW/rWTpd0tzqpkih5WcnMyTgwdRr0EDjjuuTtg8W7Zs4aXRo7n8yqvSLWfa1Km0ueiiNL17OYL5uyOvnrxEr9k153D1Y9fw5FWD2bZxW9g8LW+7gAUfL2Dz2s1h1xcqXIhm157DrHHp9/RFcsMTA/qz/M8/efLpoWHX79y5kzu7dOHYWrXp0q1b2DyLFv7EX38tp93lV+RkUyU7+fwUOgV5iUrTDs3oPrY7T141mEWzF4XNU+HoCpx2/ml8OnZGuuU0uqIxCUUT+GxS+j19kZz2xMABfPnFF4yZMJFKlSsfsn7Xrl3c0bkTxYoVZfhzz1GwYMGw5bzz9tvUPf4ETjzppJxusmQXXQxHJK1mVzfjrvF38/Q1TzH/o/np5jv/lpZs27CNHz78Id08LW+7gHnvzztksp5IbnDO8cTAAXw2axZjXh5P9erVD8mzc+dOunS8jYIFC/LM86NISEgIU5J3q9uZn3xCu8svz+lmS3ayLCz5gI7Jx7jCxcIkIj4AACAASURBVApTpXaV1OeValai5mk12bF5J5tWHXoTwGbXnEOPiT0Zc/dL/D73d0pXKg3Avj372L19d2o+M6PFLefz2cTZJCclh627Sq0qnNTsJPpf2Dd7d0okk54Y0J+PP/yQESNHUqxYMTZt9N7zxUuUoHDhwqkBfu/evTwx5El27dzJrp3eJNMyZcsSH3/wHhmffPIxSUlJXHTJJXmyLxKlfDLsHi0F+RhX+4zjeGLOoNTnHYd3AmD2hFk8c8sIrnnsWs67uQWdat4GeOezFyhYgK6j7qDrqDtSt0vJn+K08+tR8ZiKGc6qP//Wlvy3ehM/zfwpu3dLJFPefOMNAG4Luf97/8ef4LJ27Vjy22/88vPPAFzcOu1s+Y8+nUW1atVSn0+bOpUW57ekZMmSOdxqkczL0/vJ5xTdTz779JjQE+dcmgAuRwbdT15iQU7fT/7Jtq9GHS96T7v+iB8GUE9eMnRy81N4oEnvvG6GiEjO0HC9xLKONW7N6yaIiOQYU5AXERHxKX/HeAV5ERGJYfnkfPdoKciLiEjs8vlwvS6GIyIi4lPqyYuISOzyd0deQV5ERGKYjsmLiIj4lL9jvIK8iIjEMJ9PvFOQFxGRmGUarhcREfEpf8d4nUInIiLiV+rJi4hI7PL5MXn15EVEJHbFWfRLhMysm5mtMLO9ZjbXzM46TP7SZva8ma01s0Qz+8PMLoykTvXkRUQkduVSR97MOgDDgC7AXKAHMMPM6jrnNoTJXwj4FNgAXAGsAY4BtkZSr4K8iIjErtwbru8FjHHOjfeqtS7ARcCtwOAw+W8FygKNnHP7A2krIq1Uw/UiIhK74qJfzCzBzEqGLAmhVQR65acDs1LSnHPJgecN02nZpcB3wPNmtt7MfjWzB80sPtLdExERkcj1AbaFLH3C5CsPxAPrQ9LXA5XTKftYvGH6eOBCYABwD/BwJA3UcL2IiMSurA3XD8I7zh4sMSsFBonDOx7f2TmXBCwws2rAfUC/zBaiIC8iIjHLshDknXOJZC6obwKSgEoh6ZWAdelssxbYHwjwKZYAlc2skHNuX2baqOF6ERGJXVk4Jp9ZgYC8AGiRkmZmcYHn36Wz2TdA7UC+FHWAtZkN8ETWTBEREZ8xi36JzDCgk5ndZGYnAKOBYkDKbPtJZjYoKP9ovNn1z5hZHTO7CHgQeD6SSjVcLyIisSuXTqFzzk0xswpAf7zJdguB1s65lMl4RwPJQflXmVkrYDjwM9558s8AQyKpV0FeRERiVy6OZzvnRgIj01nXPEzad8DZWalTw/UiIiI+pZ68iIjELp/foEZBXkREYpeCvIiIiE/5/KC1gryIiMQu9eRFRER8yudB3ucDFSIiIrFLPXkREYldPu/qKsiLiEjs8vlwvYK8iIjELgV5ERERn9JwvYiIiE+pJy8iIuJT/o7xfh+oEBERiV3qyYuISOyK83dXXkFeRERil47Ji4iI+JS/Y7yCvIiIxDAN14OZXZrZAp1z70ffHBERkVyk4XoApmUynwPio2yLiIiIZKNMBXnnnE61ExER//F3R17H5EVEJIbpmPyhzKwYcA5wNFAoeJ1z7tlsaJeIiEjO0zH5tMysPvARUBQoBmwGygO7gQ2AgryIiOQP/o7xUV3WdjgwHSgD7AHOBo4BFgD3Zl/TREREclicRb/kA9EE+XrAUOdcMpAEJDjnVgG9gSeys3EiIiI5yiz6JR+IJsjvB5IDjzfgHZcH2AYclR2NEhERkayLZuLdT8CZwJ/AF0B/MysP3AD8mo1tExERyVk+P0E8mt17EFgbePwQsAUYDVQAOmdTu0RERHKez4frI+7JO+fmBz3eALTO1haJiIjklnwSrKOli+GIiEjs8vlwfTTnyf+Nd436sJxzx2apRSIiIrlFPflDjAh5XhCojzds/1SWWyQiIiLZIppj8s+ESzezbsAZWW6RiIhIbsnFnnwgTt4HVAYWAd2dc/PSyXszMD4kOdE5VziSOrPzaMTHwOXZWJ6IiEjOisvCEgEz6wAMA/oBDfCC/Awzq5jBZtuBKkHLMZHVmr1B/gq869iLiIjkD7l3Cl0vYIxzbrxz7jegC949X27NYBvnnFsXtKyPtNJoJt79RNqJd4Y39FABuCPS8nLClP3v53UTRHLc1QXa5nUTRHLcNJfD3+dZGK43swQgISQ50TmXGJKvEHA6MCglzTmXbGazgIYZVFHczP7B65D/CDzonFscSRujmXj3HmmDfDKwEZjjnFsaRXkiIiJ5I2vj2X2Ax0LS+gF9Q9LKA/FAaE98PXB8OmX/jtfL/xkohXcDuG/N7CTn3OrMNjCaiXd9I91GRETkSGRZm3g3CO84e7DEcBkj5Zz7Dvgu5bmZfQssAW4HHslsOdEM1ycBVQJXuwtOLwdscM7FR1qmiIhIfhMYls9MUN+Ed9fWSiHplYB1maxrf+Bwee1I2hjNQEV6P3sSgH1RlCciIpI3cmHinXNuH7AAaHGwWosLPP8uve3SNtPigVM4eO+YTMl0T97M7go8dEBHM9sZtDoeaAbomLyIiOQbuXia/DBgopnNB+YBPYBiBM6FN7NJwBrnXJ/A80eB74FlQGm88+uPAcZGUmkkw/U9A/8b3tT/pKB1+4AVgXQREZF8IYvH5DPNOTfFzCoA/fHOSFsItA46Le5ovInsKcoAYwJ5t+CNBDQKnH6XaZkO8s65mgBm9jnQ3jm3JZKKREREjji5eIMa59xIYGQ665qHPO/Jwc511KKZXX9uVisVERE5EuRWTz6vRPwbxsymmtn9YdJ7m9lb2dMsERGRXJB7V7zLE9EMVDQDPgqT/nFgnYiIiBwBorniXXHCnyq3HyiZteaIiIjknnzSIY9aND35X4AOYdKvBiKa9SciIpKnfD5cH01PfgDwjpnVAj4LpLUArsW7E52IiEi+YHH5I1hHK5rZ9dPNrC3wIF5Q34N3X9zz0K1mRUQkP/F3jI+qJ49z7kPgQwAzKwlcAzyNdys9XbteRETyBZ1Clw4za2ZmE4F/gXvwhu7Pzq6GiYiISNZE1JM3s8rAzcBteDPp38S7MU3bSC+1JyIiktd83pHPfE/ezKbj3cT+VLwL61d1znXPqYaJiIjkOM2uT9UGeBYY7Zz7M4faIyIikmt0TP6gJkAJYIGZzTWzO82sfA61S0REJOfFZWHJBzLdTOfc9865TkAV4EW8i9/8GyijpZmVyJkmioiI5Awzi3rJDyL+LeKc2+Wce9k51wQ4BRgKPABsMLP3s7uBIiIiOcbnx+SzNODgnPvdOdcbqI53rryIiIgcIaK6GE4o51wSMC2wiIiI5Av5pEMetWwJ8iIiIvlRfjm2Hi0FeRERiV35ZJZ8tBTkRUQkZqknLyIi4lc+D/I+H6gQERGJXerJi4hIzPJ5R15BXkREYpjPo7yCvIiIxCyLU5AXERHxJZ935BXkRUQkhvk8yivIi4hIzPL7efI6hU5ERMSn1JMXEZHY5e+OvIK8iIjELs2uFxER8Sl/h3gdkxcRkRhmZlEvUdTVzcxWmNleM5trZmdlcrurzcyZ2bRI61SQFxGRmGUW/RJZPdYBGAb0AxoAi4AZZlbxMNvVAJ4Gvopi9xTkRUREckEvYIxzbrxz7jegC7AbuDW9DcwsHngNeAz4K5pKFeRFRCRmZaUnb2YJZlYyZEk4tA4rBJwOzEpJc84lB543zKB5jwIbnHPjot0/BXkREYlZloV/QB9gW8jSJ0w15YF4YH1I+nqgcth2mTUBbgM6ZWX/NLteRERiVhYveDcI7zh7sMQslQiYWQngFaCTc25TVspSkBcRkZiVlSDvnEskc0F9E5AEVApJrwSsC5O/FlADmB40iz8OwMwOAHWdc8sz00YN14uISMzKjVPonHP7gAVAi6B64wLPvwuzyVLgFKBe0PI+8Hng8arM1q2evIiIxKxcvBjOMGCimc0H5gE9gGLAeAAzmwSscc71cc7tBX5N006zrQDOuTTph6MgLyIiksOcc1PMrALQH2+y3UKgtXMuZTLe0UBydterIC8iIjErN28165wbCYxMZ13zw2x7czR1KsiLiEjM8vnt5BXkRUQkdvk8xivIi4hI7MrN4fq8oCAvIiIxy+cxXkFeRERil9978roYjoiIiE+pJy8iIjHL3/14BXkREYlhPh+tV5AXEZHY5fdj8gryIiISs/wd4hXkRUQkhvm8I6/Z9SIiIn6lIB8jFsz/gbvu6ErL5s2od9IJfDZ7Vpr1jzzYh3onnZBmuaNzpwzLHP38yEO2aXvxhanr16xZc8j6lGXmjE8A2LZ1K3fd0ZWGZ5xOh8vbs3TJb2nqeGJAfyZNGJ9Nr4L4WVxcHNf2v44X/xrDlN1v8cKyF7nq4Q7p5u8yuivT3Ptccvelma6j/f2XM829z23DO6ZJ7/rCHbyw7EWm7H6LiRteoc+0h6hWt1rq+uJlivPQ+w/z+o4pDPtxBDXrHZtm+84jb+eyXm0z3Q7JPrlxP/m8pOH6GLFnzx7q1K1L2/bt6XX3XWHzNG7SlH4DH099XqhQocOWW6t2bV4c+3Lq8/gCB99SlStXZtacL9Pkn/rWm0wc/zJNmjQFYOxLL7Jr9y7eePtt3nzjDfo/9iiT33wbgJ8XLeTXX37m/gcfyvyOSsxqf//ltO7ahmduGsGqxSupdUZt7hp/F7u27eLD5z5Ik/d/bc+m7tl1+W/Nf5kuv/YZtWl1e2v+XvT3IeuWL1jOF699waaVGyletjhX972GvjP7c3vNTiQnJ3PlQ1dRpEQR7mnQk9Zd29BtTDfuPfMeAOr8ry51/leHsXeNydoLIFHJJ7E6agryMaJJ02Y0adoswzwFCxWifIUKEZUbH18g3W3i4+MPWffZ7Nlc0Lo1RYsVA+Cvv5bTus2FHFOjJpdfeRVT334LgP379zOwXz8e6z+A+Pj4iNoksaluo+OZ995cFnw0H4AN/2yg2TXNOO6sOmnyla1alk7PdaZfq8d45MNHM1V24WKF6fnaPTzfaSRXPXzVIetnjpmR+njDPxt47eHXeObnZ6lYoyLr/lpH9ROq89UbX/Hvn/8y86UZXNC5FQDxBeLp+kJXRnYcSXJytt9KXDLBfD71TsP1kmr+D/M4t2ljLruoDY/378vWrVsOu83Klf/QsnkzLmrVkj6972Ptv/+mm/e3xYv5fekS2ra/IjWtbt3jmTd3LgcOHODbb76mTh3vC3nCy+M448wzOenkk7O+YxITfv92Kae2OJWqx1UFoMapNTihyYn8+PGC1DxmRo9XejHtqXdZ9duqTJfd+fkuLPhwPj/PXnTYvAlFE2hxSwvW/bWOTas2AfD3ohWcet6pxMXHUb9VA1b8vAKAdr3b8+ucX1m+YFkEeyrZySz6JT9QT14AaNykCS3Ob0m16tVZtWolI0eMoNvttzNp8uvp9qRPOfVU+j/+BDVq1GTTxo28MPp5br3xet5+bzrFAj31YO9OfZtjj61Fvfr1U9Nu6diJx/v345LWF1C1WjUe6z+Qf/5ZwfT3pjFp8usM7NeX7779hhNPOplH+/WnRIkSOfYaSP42dfDbFClZhJFLR5GclExcfByvPfQqX07+IjVP+/svJ/lAEh88Oz3T5Tbp0JRaDY5NHV5PT5uubbjxyZspUrwIq5eupm/LRzmw/wAA7wx+my6ju/LC8pfYsGIDI297jiq1q3DuTefxQMPedBndlXoX1Gf5/GU832kku7fvju5FkIjll2AdLQV5AaD1hRelPj6uTh3q1KnLxa0vYP4P8/jf2Q3DbhM8/F+nbl1OPvVULmzZgpmffEy7y69Ik3fv3r18/NGHdO7SNU16iRIlGPzU02nSOt1yMz3vvY+PPviA1atXMe2Dj+j/2KO8NHoU9/S+P6u7Kj7V+KomnHPdOQy7diirFq+kZr2a3DqiI5v/3cznkz6jVoNaXHz3JfRq0DPTZZavXp6Oz3TisZaPsj9xf4Z5v3jtCxZ+upAyVcrS9t623Pdmbx5ofD/7E/eze/tuhl03NE3+/rMHMvG+CTS77hwqH1uZbnW70m3MnXR49GrG3/tyOrVIdovTcL3EoupHHUWZMmVYtXJlprcpWbIkRx9TI+w2s2bOYO+evVx86WUZljHt3XcoUbIE557Xwjt8cF4LChYsSMtWrZj/w7yI90Nix81P3czUwVP5espX/PPrP8x5dQ7Th7/P5X28H5wnNj2JUhVLMXblOKbuf5ep+9+lYo1K3Dz0Fl76O/ykt1qn16J0pdIM+3F46jYnNz+Fi+66mKn73yUu7uBX6O7tu1m7bC2/fbWYJ68YQrXjq3N2u/A/kM+7uQW7tu5i3vtzObn5Kcyd9j1JB5L45q1vOLm5DlFJ9lFPXsJav24dW7dupXz5zE/E271rF6tXraL8pYeekvTuO1Npfu65lC1bNt3tN2/ezEujRzH+ldcASE5K5sABb7jzwIEDJCVpYpKkr1DRBFyyS5OWnJSMxXk9tTmvfM6iWQvTrH9sRj/mvPI5s8fPDlvmotk/c9fJd6ZJ6z7+btYsXc07Q6amP1nOvOP/BRMO/YotWb4kHR69mj5NvFGpuPg44gt6+QoUjCcuXn2v3KThevGF3bt2sTKoh71m9WqWLllCqVKlKFWqFC+MHsX5LVtSrnwFVq9ayYihT3PU0UfTqEmT1G0633oL57U4n6uvuw6AYU89SbPmzalStRobN2xg9PPPER8fl2boH2DlP//w4/z5jBz9YoZtfGrwIG686RYqVaoEwGn16/Ph9Pdp2KgxU996M82xfJFQ86f/wBUPXcnGlRu94fr6x3Jpr8uY/bJ3TYgdm3ewY/OONNsk7T/A1nVb+fePNalp/WcN4Pt3v+ej5z9k7849rFycdmQqcddedvy3IzW9Us1KNOnQlIUzf2Lbxm2Uq16eyx+4nMQ9iSz4aAGhbhvRkfeGTmPzv5sBWPrNEprf0JyFM3/igs6tWPLNkmx9XSRjCvLiC4sXL6bTLTelPh/65BAALrmsLQ89+hh//v4709+bxo7tO6hQsQINGzWmW/e70pwrv2rVSrYEzbhfv34dfe67l61bt1KmbFnqN2jApMlvHNJbn/buO1SqVJmGjRun275vv/6aVStX8vjgIalpV197Hb8tXswN13Tg5FNOocsd3bL8Ooh/vdT9Ja4bcB23j+pCqYql2PLvZma8+Alv9p8SUTmVa1WmZPmSmc6/b+9+Tmx6Ipf0uJRiZYqxbf1WFn+5mAca3c+2jdvS5K13QX2q1K7CiBuGp6Z9OPIDap9RmyfnPs2f8/5gSr83ImqvZE1+uahNtMw5d/hc+cyeA8n+2ymRENcU1BXSxP+mufdzNAp/9vO/UceL806tesT/QjiiD/6Y2VFmpmmmIiKSI/x+WdsjOsgDZYGbMspgZglmVjJ4SUxMzKXmiYiIHLny9Ji8mR3uzhDHHmY9QB/gseCEp4YM5uFHH0snu4iIiCefdMijltcT76YBDjK8GsHhjpcMAoYFJ9x3/wPb0skrIiKSyu9BPq+H69cC7Z1zceEWoMHhCnDOJTrntgcvCQkJOd9yERHJ9ywL//KDvO7JLwBOB95LZ/3hevmSQ8aNeYnZn37Kir//IqFwYU6rV58eve6hRs2aqXkG9H2Mud9/x8YNGyhatCin1avP3b3uoeaxhx5l2bp1C1e1b8eG9ev58ru5lCyZ+VOURLLqxKYn0e6+dtQ6vRZlq5ZjUNvHmfve3HTzn92uIa27tqFmvZoUTCjIysUreaPv6yyc+VOafGWrluXGITfToE0DEoomsG7ZWp695dnUG86Uqliam4bcRL0L6lGsdHEWf7mYMd1fZO2ytTm6v5J56snnrKeAbzNYvww4N5faIkEW/PADHa65lkmvv8ELY8Zx4MB+una6jT27D94444QTT6LfwMd5Z/qHjHppDM45unbqSFJS0iHl9X3kEY6rU+eQdJHcULhYAn8v+psXu2V8QaYUJzU7iUWfLmTAhf245/Se/Pr5Lzw0/WFq1jv4A7ZY6WIM/mYISfsPMKBNP7qfeCfj73mZXVt2pubpM+1BKh1bmScue5ye9Xuw8Z8N9Js1gISiGm08Uvh9dr3Ok5dM2bx5M+c1bcy4iZM4/Ywzw+b54/ffuap9W6Z/PIOjjj46Nf3NN15nxicfc3uXO+h82y3qyWcTnScfnWnu/cP25MN59teRfD3lK94c4F1c54ZBN3JC4xN4sFmfsPmrHleVUX+8QPeTuqXe1tbMGL9uIq8++Aqzxn2atR2JETl9nvw3S9dHHS8aH1/piI/0ed2Tl3xi5w7vcqClSpUKu37P7t289+47VKtencqVK6emL1+2jJdGj2LgE4OxOL3dJH8yM4qUKMLOzQd76WddehbL5i/jvjfvZ8L6SQz7cQQtO16Qur5gQkEA9u89ePc65xwHEvdzYpMTc6/xEtP0rSuHlZyczFNDBlGvfgNqH5d2yH3K65NpeMbpNDzzdL75+iteGDOOgoFL4e7bt48+991Lz3vvo0rVqnnRdJFs0fbedhQuXphv3vw6Na3SsZVp3bUNa//8l36t+vLJ6I/p+Gwnzr3xPABWL13Nhn82cMOgGylWuhgFChagXe/2lD+qAmWqlMmrXZEQuTlcb2bdzGyFme01s7lmdlYGedub2Xwz22pmu8xsoZndEGmdCvJyWIMG9mfZn38y5Omhh6y78OJLeGPqVMZNnMQxx9Sg9z09SbkY0bPDh1Gz1rFcdMnhLocgcuRqdk0zOjx2NU9d9WSaa9FbnPHXj8t59aFX+HvhX8wcM4NPx8ykVZfWACQdSGJI+0FUrVOV17a8zpTdb3HKuaey4KP5JOuI4hHDsrBEVI9ZB7zTvfvhnTm2CJhhZhXT2WQz8DjQEDgVGA+MN7NWkdSb17Pr5Qg3aOAAvvziC16e+AqVgobhU5QoUYISJUpwzDE1OPXU02ja6Gw+mzWLNhddxLy5c1n25x/MmundHztl/se5TRpxW+fbuePO7rm6LyKRatKhKd3GdufJK4fw8+xFadZtWbsl9Vh7itVLVtPw8kapz5f/uJye9XtQtGRRChQqwPZN23ny+6dYNn9ZrrRfDi8X58/1AsY458Z79VoX4CLgVmBwaGbn3JyQpGfM7CagCTAjs5UqyEtYzjkGPz6Qz2bPYuyEiVSrXv3w23gbsm/fPgCGjniGxMS9qet//fVX+j78EC9PeoWjjjo6fCEiR4imVzfjzpe7M/Tqp1nw0fxD1i/9ZgnV6lZLk1a1TlU2/rPhkLy7t3tnpVSpXYVaZ9Rm8iOv5UyjJWJZmSVvZglA6KkSic65xJB8hfBOFx+UkuacSzazWXg99cPVY8B5QF3g/kjaqCAvYT0xoD8ff/QhI54bSbGixdi0cSMAxUuUoHDhwqxetYoZn3xMw0aNKVOmDOvXr2f82DEkJCTQtFkzgDQz7AG2bNkKQM1ja2l2veSqwsUKU6V2ldTnFWtWouZpNdmxeQebVm06JH+za5px18QejLt7DH/M/Z3SlUoDsG/PvtSA/f7w9xj87ZNc0edKvn7za+qcdRwXdG7FqM7Pp5bT6IrGbN+4jY0rN3LMKTXo+ExH5k2by8JPF+bwHktmZbEnf8hl1fGG4/uGpJUH4oH1IenrgePTb5uVAtbg/ZBIAu5wzkV0WoaCvIT11hTvntYdb057f6B+A5/gsnbtKJSQwI8L5vPaK5PYvm075cqXo8HpZzDxtdcpW65cXjRZJF21z6jNwDlPpD6/bXhHAD6bMJtnb3mGqx+7hvNuPo/ONTsBcEHnVhQoWIDbR3Xl9lFdU7dLyQ+wbP4yBrd7ghsG3chVj3Zg/d/rGddjLF9O/iI1f5kqZbh12K2UqlSaLWu3MGfS56mn4IkvHHJZdSA775C2A6gHFAdaAMPM7K8wQ/np0nnyIvmUzpPPPndN6AHOpQZwOXLk9HnyPyzbFHW8OLN2+Uy1LTBcvxu4wjk3LSh9IlDaOXdZJssZCxzlnMv05DvNrheRmHdy85N1nDxGmUW/ZJZzbh/eZdxbHKzX4gLPv4uguXEcOgcgQxquF5GY17lGx7xuguSRXLw87TBgopnNB+YBPYBieKfGYWaTgDXOuT6B532A+cByvMB+IXAD0PXQotOnIC8iIjErt2K8c26KmVUA+gOVgYVAa+dcymS8o4HkoE2KAaOA6sAeYClwvXMuokkdCvIiIhKzcvM+M865kcDIdNY1D3n+MPBwVutUkBcRkZiVX+4LHy1NvBMREfEp9eRFRCRm5ZPbwkdNQV5ERGJWLs6uzxMK8iIiErN8HuMV5EVEJHb5feKdgryIiMQs9eRFRER8Ks7nUV6n0ImIiPiUevIiIhKzfN6RV5AXEZHYpSAvIiLiU5pdLyIi4lPqyYuIiPiU3694p9n1IiIiPqWevIiIxCyfd+QV5EVEJHb5fbheQV5ERGKWv0O8gryIiMQw9eRFRER8yucxXkFeRERil89jvE6hExER8Sv15EVEJHb5fLxeQV5ERGKWv0O8gryIiMQwn3fkFeRFRCR2+TzGK8iLiEgM83lXXrPrRUREfEo9eRERiVn+7scryIuISAzz+Wi9gryIiMQyf0d5BXkREYlZfu/Ja+KdiIjELMvCEnFdZt3MbIWZ7TWzuWZ2VgZ5O5nZV2a2JbDMyih/ehTkRUQkZplFv0RWj3UAhgH9gAbAImCGmVVMZ5PmwOvAuUBDYBUw08yqRVKvgryIiEjO6wWMcc6Nd879BnQBdgO3hsvsnLvOOTfKObfQObcU6IgXs1tEUqmOyYuISAyL/qC8mSUACSHJic65xJB8hYDTgUEpac65ZDObhddLz4yiQEFgcyRtVE9eRERiVhaH6/sA20KWPmGqKQ/EA+tD0tcDlTPZ1CHAv8CsSPZPPXkREYlZWZxcPwjvOHuwxHAZs8LMHgCuBpo75/ZGsq2CvIiIxK4sRPnAsHxmgvomIAmoHHxNvwAAB9tJREFUFJJeCViX0YZmdi/wAHC+c+7nSNuo4XoREYlZloV/meWc2wcsIGjSnJmlTKL7Lt22mfUGHgFaO+fmR7N/6smLiIjkvGHARDObD8wDegDFgPEAZjYJWOOc6xN4fj/QH7gWWGFmKcfudzrndma2UgV5ERGJWbl1xTvn3BQzq4AXuCsDC/F66CmT8Y4GkoM26QoUAt4OKaof0Dez9SrIi4hIzMrNq9o650YCI9NZ1zzkeY3sqFNBXkREYpfPL16vIC8iIjHL3yFeQV5ERGKYzzvyCvIiIhK7fB7jdZ68iIiIX6knLyIiscvn4/UK8iIiErP8HeIV5EVEJIb5vCOvIC8iIrHM31FeQV5ERGKW33vyml0vIiLiU+rJi4hIzPJ5R15BXkREYpffh+sV5EVEJIb5O8oryIuISMzye0/enHN53QbJ58wsAegDDHLOJeZ1e0Rygt7nkh8pyEuWmVlJYBtQyjm3Pa/bI5IT9D6X/Ein0ImIiPiUgryIiIhPKciLiIj4lIK8ZIdEoF/gfxG/0vtc8h1NvBMREfEp9eRFROT/7d15qFRlHMbx75OmlVIR2UILSYtFRbbQvkgWhVfCNltppwwtA/8oCysqstX2BVptL8KMCLIEqz8y28VILdPUNG0xSc209Ncf7zsxTM6duffaXOf0fEDunff83nNeLweeOWfeM68VlEPezMysoBzyZmZmBeWQNzMzKyiHvNVF0lBJ30n6Q9IUSQfXqD9d0oxcP03SgEaN1aw9JB0t6Q1JCyWFpEF19Okn6TNJqyTNknRBA4ZqVjeHvNUk6QxgDOnxoQOAqcAESdtUqT8ceBF4AtgfGA+Ml7RPY0Zs1i49SOf20HqKJfUG3gQmAX2Be4HHJZ3wn43QrI38CJ3VJGkK8HFEDMuvNwLmAw9ExG3rqH8Z6BERA8vaPgS+iIghDRq2WbtJCuDkiBjfSs3tQEtE7FPW9hKwZUSc2IBhmtXkK3lrlaRuwIHAxFJbRKzNrw+r0u2w8vpsQiv1Zs3I57lt8BzyVsvWQBdgcUX7YmC7Kn22a2O9WTOqdp5vLmnTThiP2b845M3MzArKIW+1/AysAbataN8WWFSlz6I21ps1o2rn+W8RsbITxmP2Lw55a1VErAY+BfqX2vLEu/7A5CrdJpfXZ8e3Um/WjHye2wava2cPwJrCGGCspE+Aj4CrSI8bPQUg6RlgQUSMzPX3Ae9JGkF6xOhM4CDg0kYP3KxeknoCu5U19ZbUF1gSEfMkjQZ2iIjz8vZHgWGS7gCeBI4FBgMtjRy3WWsc8lZTRLwsqRdwE2my0RfAiRFRmnS0M7C2rP4DSWcDtwC3At8AgyLiy8aO3KxNDiI9814yJv8cC1wAbE861wGIiDmSWoB7gOHA98AlETGhIaM1q4OfkzczMysofyZvZmZWUA55MzOzgnLIm5mZFZRD3szMrKAc8mZmZgXlkDczMysoh7yZmVlBOeTNmoCkpyWNL3v9rqR7O2Ec/SSFpC0bfWwzazuHvFkH5PCN/G+1pFmSrpf0X3+b5CnAqDrH6GA2+5/y19qaddxbwIVAd2AA8BDwJzC6vEhSt7zgT4dFxJL1sR8zKzZfyZt13KqIWBQRcyPiEWAicFLpFruk6yQtBGYCSNpJ0iuSlkpaIul1SbuUdiapi6QxefsveQEUlR+w8na9pO6Sbpc0X9KqfEfh4rzf0vex/5qv6J/OfTaSNFLSHEkrJU2VdFrFcQZI+jpvnwTsgpk1DYe82fq3EuiWf+8P9CEtQTpQ0sbABGAZcBRwBLAceEtSqc8I0oIoFwFHAlsBJ9c45jPAWcCVwF7AZXm/84FTc00f0iIrw/PrkcB5wBBgb9JCK89JOgbSmxFgHPAG0Bd4HLitLX8IM+tcvl1vtp5IEinUTwAeAHoBK0grk63ONeeS3lxfEnl1KEkXAkuBfsDbpKV8R0fEuLx9SN5ntePuQVri9PiImJibZ5dtL93a/zEilua27sC1wHERUVr/fLakI0lvEN4DLge+jYgReftMSfsCV7f9r2NmncEhb9ZxAyUtBzYmBfgLwI2kz+anVXwOvx9pzfJl6T3BPzYBdpW0Belqe0ppQ0T8JekTKm7Zl+kLrCEFc712AzYD3qkYRzfg8/z7XuXjyCZjZk3DIW/WcZNIV72rgYUR8RdADs8VFbU9gU+Bc9axn5/aefyV7ejTM/9sARZUbFvVznGY2QbGIW/WcSsiYladtZ8BZ5Bunf+2rgJJPwCHAO/n112BA3PfdZlGuoNwDGnSX6XSnYQuZW1fkcJ854iodgdgOnBSRduhVWrNbAPkiXdmjfU88DPwuqSjJPXOz7HfL2nHXHMfcI2kQZL2BB4Gqj7jHhHfAWOBJ3Of0j4H55K5QJA+VuglqWdELAPuAu6RdL6kXSUdIOkKSefnfo8Cu0u6U1IfSWeTJgSaWZNwyJs1UET8DhwNzCPNXJ8OPEH6TL50ZX838CwpuCeTZuK/VmPXlwOvkt4QzAAeA3rkYy4AbiDNjF8MPJj7jAJuJs2yn0563r8FmJP7zSPNzB8ETCXNwr+2nf91M+sEyhN8zczMrGB8JW9mZlZQDnkzM7OCcsibmZkVlEPezMysoBzyZmZmBeWQNzMzKyiHvJmZWUE55M3MzArKIW9mZlZQDnkzM7OCcsibmZkVlEPezMysoP4GLoSTsysGVGAAAAAASUVORK5CYII=\n","text/plain":["<Figure size 600x400 with 2 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}},{"output_type":"stream","text":["Sensitivity:     84.43%\n","Specificity:     84.91%\n","Accuracy:        84.67%\n","F1 Score:        84.63%\n","MCC:             69.34%\n","auROC:           90.84%\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"w24eQSOLZw9e"},"source":["##**BERT BFD Model:**"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":527},"id":"8HNUM9HvZvYU","executionInfo":{"status":"ok","timestamp":1629987705240,"user_tz":-60,"elapsed":135622,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}},"outputId":"30693d26-b9a6-43af-cb6e-4286a521f5ea"},"source":["BERT_BFD_model_INDEP = keras.models.load_model('Keras_Models/INDEP/Best_BERT_BFD_Model_87.50')\n","X_test = load_INDEP_X_data('BERT_BFD')\n","BERT_BFD_mod_pred = BERT_BFD_model_INDEP.predict(X_test, batch_size=8)\n","BERT_BFD_mod_pred_labels = convert_preds(BERT_BFD_mod_pred)\n","BERT_BFD_metrics = display_conf_matrix(y_test_INDEP, BERT_BFD_mod_pred_labels, BERT_BFD_mod_pred, 'BERT BFD Model', 'Figures/INDEP/BERT_BFD_Model_CM.png')"],"execution_count":24,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 600x400 with 2 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}},{"output_type":"stream","text":["Sensitivity:     86.83%\n","Specificity:     88.16%\n","Accuracy:        87.50%\n","F1 Score:        87.41%\n","MCC:             75.00%\n","auROC:           93.58%\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"lu54HfbmaAJg"},"source":["##**T5XL UNI Model:**"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":527},"id":"gLh1mTxeaDpq","executionInfo":{"status":"ok","timestamp":1629988082357,"user_tz":-60,"elapsed":377119,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}},"outputId":"38f1c92e-44e0-49b4-90d3-71ad6266a4dd"},"source":["T5XL_UNI_model_INDEP = keras.models.load_model('Keras_Models/INDEP/Best_T5XL_UNI_Model_88.26')\n","X_test = load_INDEP_X_data('T5XL_UNI')\n","T5XL_UNI_mod_pred = T5XL_UNI_model_INDEP.predict(X_test, batch_size=8)\n","T5XL_UNI_mod_pred_labels = convert_preds(T5XL_UNI_mod_pred)\n","T5XL_UNI_metrics = display_conf_matrix(y_test_INDEP, T5XL_UNI_mod_pred_labels, T5XL_UNI_mod_pred, 'T5XL UNI Model', 'Figures/INDEP/T5XL_UNI_Model_CM.png')"],"execution_count":25,"outputs":[{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAfkAAAGYCAYAAABBHpsbAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOzdd3wU1frH8c+T0KQIPy4dL51QLYCgCAKCCuq1F7CCCIodwQYqIqhgoahYEKRZuYhXBTsqNlQEpQqoQEJvUlRKgOT8/phN2CybspsGs9+3r3m5M3PmnDPLZp89ZWbMOYeIiIj4T1xhV0BERETyh4K8iIiITynIi4iI+JSCvIiIiE8pyIuIiPiUgryIiIhPKciLiIj4lIK8iIiITynIi4iI+JSCvE+Y2VVmttDM9piZM7Od+VhWh0AZzswm5Vc5fmRms4Peu1qFXR+JLWbWI+jzN7iw8pCCoyCfC2ZWyszuMrOvzexPM9tnZqvNbKaZXWNmxQqoHq2B14ATgGMKoswjhZkNDvrCcWb2aZg0LULSODMrEWV5FwXKHHy0BumQH2nZLYk5PGZwUP4zgraPDinbzOyboP1DAttrBecX5XkF/4DqEbIvODDNzuK9eDKL497KLr8s6lagn1ORNEUKuwJHKzNrDMwA6oTsqhVYzgOWAAsKoDrnARZ4PRZ4HTiQj+X9ApweeL05H8uJRiczq+mcSwra1jsP878I6B54PRtIjPD424Gygdcb86ZKR5xbgA5AaeA2M3vNOTcvsO8moG3g9QrgsYKvXpZuNrPhzrnt+VxOfn9ORQAF+aiYWXngI6BGYNMG4ClgMVAGaA9cX4BVqhb0eqpz7pv8LMw5twv4Nj/LyIU44AZgEHi9LcBVhVqjQD2cc7udc4sLuy5k/JEG0Ax4NvB6E3B50L59YY6/I5BHsDVpL5xza83sQWA0EA+8bGYtgUrA8LRkwI3OueRoTyKflAb6Evj85KMj8nMq/qPu+ujczaEAvwto5Zwb7Zz73Dn3rnPuLiCBoC8+MytmZveZ2QIz2x0YO19oZveHduubWWJQd10VM3vVzHaY2d9mNjXwIyO9i5OMPyi+CO5CDO12DSoj7NiwmV1qZt+a2S4z229mmwLrT5iZBdJkOiYfqO+zZrbSzJLNbGegrMtD0gV3z842s5Zm9mXgfdlkZo+aWaSfz78D/78+6NiueD+8/g5/CJjZCDObY2YbA3X+x8x+NrO7zaxIcH051IoH+DLoHDoE0qW/32Z2vJl9Zmb/AB+Ee9/N83nQtvOC6vVC0PYBEb4XmXLO7XLOfZu24P04TZMcvC+oBR5scUiab51za0LSPAfMDbxuBtwFjOFQL8Z459zXeXVOeex2Mzs2H/OP6nMKYGaXBf5OdgY+q6vMbIyZVQ2TtqOZ/WTeMOJKM7s1m7xrm9k4M0sK5L0l8H3TKJqTlCOEc05LhAuwEq8l4oCHc5C+OPBV0DGhy1dAsaD0iUH7VoZJ/1ogXa0s8pwdSJO2nhhSp9lB+2oFtrUHUrLIs0ggXYegbZOC8qyN1wWd2fHDg9IG130DsCdM+l45eG8HB6WfCOwPvD43sP+HwPrYkLxLBOWxL4s6T8jBe+2ADiHv905gW5h/j3Dvey28L3cX+LcvBbQBUgPbfgTi8/HzHPzvmZiDNOuBZGAH8ClwZibHnIA3bOSC/l1c4DNSLiRthvc3yvMIfm97hOzrEfpvEea8VgB/BV4PDHPcW9nll8+f0yey+PxtBGoHpT0t8G8Umm5h0OvBQembB/49w+X9N15DJty5D87u3LUU7qKWfITMrDQZx+Fz0jXeF2gXeL0Wr1vuSg619NvhtXTCOQa4Bm+cc39gWzczK4v3h3063tBBmjsC227PQb1Cnc+h3p2BQCegG/Ao8CveH3VWXgCqBF7PBi4A+nGoy/c+MzslzHFVgZ+BCznUbQze+G0kNgMzA697mdnxQFp547M47jG8f48ueF/6l+AFVoAeZnYcWb/Xp3N493VZvB9MNwKdsyrfOZcI3BNYrQkMA17Gm2exD+junEvJov4FrRpQDCgHnAV8aiET3QCcc4uAEYHVokG77nDO5dvVH7mwA+8zDHBXoAs9P0T8OQ383dwbWN2H15t4AfBlYFsVDtUdvPc9rYdwFt7f9kNAkzB5GzAZ798z7dizgfvwPsOlgYlpPXlydNGYfOTKhqxvyMExwWNttzjnZgIEunFnBLZfifdLPdQtzrl3A+kvwAtE8XitwIXAt2a2JSj9Yud1wUYjeLLe78BC59yfwFS8L4hMBYYQOgdWk4HLAsdiZtWB/oF9V3IogKbZD1zqnNtsZjOBXkBJoF4U5zAeuBj4T9D5LHLO/ZTFd9QXeEH2FKACGf8uDGjunHufyN/ra5xzn+Wk0s65l8zsUuBMMv5Ae8A5tzyrY82sONAyTJ55OW8iBS+gvAP8gRcQ+gMn471Ho81smnNud8hxE/GCRZo/gffysF55bSTe+18B6INX3/wQ6ec0+DvkeefcCAAz+x5Yh9db2Dnwd1gEODWQNhno6ryJhDPNrCFwdUjeJwJNA68XAO8GXs/BG3JpDTTGa+3Pj/xUpTCpJR+5XSHr1cKmyigh6HVwgJubSZpgXwW9Dv7CKReaMA+8jvelADAN2GZmm83sHTM7M5tj63Nohv/KtAAfkN15LnfObQZwzqXitaggunP8GK+3pChwRWDbuMwSm1krvOB1IV5rKNwP32jqsS+nAT7IDUBwkPwBb/Jadqri9SiFLnnGOfeNc66jc26Mc+5j59xbeK34tL+HsnhdxKFGhKz/C7g/L+sWXM2g16GRMng9NdMMnNuC14sC3o+Y/LqELaLPKZl8hzjntgGrAquG98M4uKdxpct4pUDw32K4vE8i42eoddA+jc0fhRTkI+Sc+4dDf1TgjZ1GnV0OytsRtHow6HWkXWfxIesVwpS1BGiB12X+I94XeCW8FscnZhbuSzwnsjvPHSHrB8OmyklB3o+EiUGb9uHdQyAzfTjUlTwTOBev+31KUJpo/k62ZJ/kMDXxejDS1ADycwJYrgS63H8P2lQxeL+ZdcW7vBO84Y60FutAM2uQD1UKnrQW+vmukEm6cJ7C+7FbFeiZB/U6TBSf0yyzy6e0ofJr+ELykYJ8dKYGve5nZoe15s2sUqDrDOC3oF2tgl4Hj08Hp8lLaS2tf5lZ0UDdagENQxOamTnnljrn7nTOneqcKwdcFtgdh3eNeGb+4NAXSF0z+1fQvoI4z2ATONRam57N+G/1oNcDnHMfBbq5K2eSPrgVmNXfT0RfpmZWEu9L3/C6xsHrJcq2Je+cS3TOWegSSfk5qF+LMNvKkbEVuDlkX3Ddb+TQcFRxvMvq8nqMd0XQ67ND9gWvZzn84ZzbwKEAfNgwSB6K5HMa9jsk8HdWN7Dq8P4OVwelrWNm/xe0Hm5OTHDeX2XyWSrlnBubzfnIEUhj8tF5Gm9cqwZeV+6PZvY0h66T74B3WVsHYDvwBt5MY4DnzawMgdnmQXm+mU91/QOvdX4M8IaZfY03iS+0ZQ9wb+BSsA/wJgXu5tA4O3hfzmE55/40s0/w5gwUB/5rZqPwvoBuCUqaX+cZXJekwOVCVYC3s0kefDOSAWY2GTiHjOcdLLjX4RozSwFS8mD8+wkOfVn3xRs+OBPoHhjr/iCX+efWiEDgngIswmsZ9+dQT8M2vDHcNE9xaBLm2865mWb2Gd6PxoZ4k017kUkXtZkND7N5lnNuVhZ1nIY3IQ3gzMDncS5eUAwebpqeRR5phgfql2/fkRF+Tt/Em+gJ3g2GNuD1ovTl0N/lJ2ld82b2I15ALwG8ZWbP4o29dwuT90K8G3c1Bdqb2RS89/IA3lUPrfB68/4vzLFypCvs6f1H64I3ESXc5W3By0mBtMWBr7NIl+kldCFlTgo6pkN22wP7bgxT3t9444Ghl3I9mEUdU4A2gXQdgrZPCiqrDtFdQjc7pM5hzz+Tf4fB4fLPJO1hlybhfYGlhuxLxQtYaes9gvL4T7hzC1NGYiZ1mB3mfe8QVIc5eD0EtYF/AtvWE3LJWR5/ljtEWO/QZT9wUVDadkHnsxOoGrSvbdC+HUCVMJ+HzJbBOTiXZ7PJ45kszv2HkH0TQ47Nq0voIv6cBrZHcgnd6WS8bDFt+S3c+0nWl9CFfsZ7hMtDy5G5qLs+Ss65X/Fa5/3w7v62He+Pai3wCd5NU34NpE3Gm6R0P14raC/eGNxiYABwtnNuP/ljPN4lWVsC5X6B9wWwMkzaD/Gu012C9wefEjivT4HOzrnvsirIObcK78tiDF6X4QG8646/xpvhm18TrqLmnJuL10pZjPdvshTvjm+H3Vs8kH4mXmtxJbmYO5AmcJnWBLxu+gNAb+dcqnNuNfBAIFk1Ml5aWBjuwet+X4Q3AfQg3pUlbwGnuENXgBTH+wyldcXf75xLv32v83o8XgqsliOPz8s5dwfeTPQvyfgZ/gK4yjl3ZwTZPc6hoZNC55y7D2+S3ld4f1cH8H4QP493BcjqoLTf4M0v+RnveykJ7yqHYZnk/TPepLuX8OYc7cf7gbYksK1TfpyT5D8L/DITERERn1FLXkRExKcU5EVERHxKQV5ERMSnFORFRER8SkFeRETEpxTkRUREfEpBXkRExKcU5EVERHxKQV5ERMSnFORFRER8SkFeRETEpxTkRUREfEpBXkRExKcU5EVERHxKQV5ERMSnFORFRER8SkFeRETEpxTkRUREfEpBXkRExKcU5EVERHxKQV5ERMSnFORFRER8SkFeRETEpxTkRUREfEpBXkRExKcU5EVERHxKQV5ERMSnFORFRER8qkhhVyA/XB5/iSvsOojkt0n7phV2FUTyXami8Zaf+V9g/4k6XrzvZuZr3fKCL4O8iIhITsT5vEPb32cnIiISw9SSFxGRmGV2xPe454qCvIiIxCy/d9cryIuISMyKU0teRETEn0wteREREX9SS15ERMSn/N6S9/fZiYiIxDC15EVEJGapu15ERMSndAmdiIiIT+lmOCIiIj6llryIiIhP+X1M3t8/YURERGKYWvIiIhKz/H6dvIK8iIjErDhTkBcREfElw99j8gryIiISs9SSFxER8ak4teRFRET8ye8T7/x9diIiIjFMLXkREYlZfr8ZjoK8iIjELN3WVkRExKf0gBoRERGfUkteRETEp/w+Ju/vnzAiIiIxTC15ERGJWbpOXkRExKfizKJeImVmt5pZopntM7MfzaxVNun7mtkKM9trZmvNbJSZlYikTLXkRUQkZhVUS97MugIjgT7Aj0Bf4BMza+Cc2xIm/VXAcKAnMAdIACYBDuiX03LVkhcRkZgVZ3FRLxHqB4xzzk10zv2KF+z34AXxcE4DvnPOveGcS3TOfQq8CWTZ+j/s/CKtpYiIiF/EYVEvZlbczI4NWYqHlmFmxYAWwKy0bc651MB660yqNgdokdalb2Z1gHOBDyM7PxERkRhlFhf1AgwAdoUsA8IUUwGIBzaHbN8MVAlXL+fcG8Ag4FszOwCsBGY75x6P5PwU5EVERKIzDCgbsgzLi4zNrAMwELgFaA5cApxnZg9Fko8m3omISMzKzfPknXPJQHIOkm4DUoDKIdsrA5syOWYo8KpzbnxgfbGZlQJeNrPHAt392VJLXkREYlZBTLxzzu0H5gOd0raZ19/fCfg+k8NKAqGBPCXt8JyWrZa8iIjELMtFSz5CI4HJZjYPmIt3CV0pYCKAmU0B1jvn0sb0ZwD9zOwXvEvu6uG17mc451JCM8+MgryIiMSuuIIJ8s65qWZWERiCN9luAdDFOZc2Ga8GGVvuj+JdE/8oUB3Yihf4H4ikXAV5ERGJXQX4gBrn3BhgTCb7OoSsHwQeCSxR05i8iIiIT6klLyIiMcsKqLu+sCjIi4hI7PL58+QV5EVEJHapJS8iIuJTCvIiIiL+ZOquFxER8Smft+R1CZ2IiIhPqSUvIiKxS931IiIiPuXz7noFeRERiV0RPE3uaKQgLyIiMUt3vBMREfErBXkRERGf8vnEO38PRoiIiMQwteRFRCR2qbteRETEn3RbWxEREb9SS15ERMSn1JIXERHxKZ+35DW7XkRExKfUko8BcXFxXP5wV9pd3Y5yVcqxfcMOZk/+kumPTUtPMy3lnbDHvnrvZN4f8V6meZevVp6rh19Lsy7NKV6yGJv+2MTzN4xh1fyVAFw+qCtturbhX/+uwMH9B1k1fyVvPvQGf8z9HYAixYpw87hbOPmCVuzctJPxt73M4s8Xped/Qf8LqVCjIhPuHJ8Xb4X43Px585gycQLLfl3Ktq1bGfHMs5zR6UwADhw4wAvPPct333zNunXrKF26NKec2po77upHxUqVMs1z2ltvMW3qW2zcsB6AOvXqcWOfm2lzejsANqxfz386nxX22CdGjOSszl3YtWsngwYOZN7cH6lRsyYPD32Uho0ap6cb9uhQjjvuOK7tcX1evRWSUz5vySvIx4AL772Ys/t05vnrn2Pt0jXUPbket7xyG3t27eajMR8C0LtazwzHnHROc24edws/vPNDpvmWKleKod88ztLZS3j8vKH8tfUvqtSvyu4d/6Sn2fj7Bl65YzybV22m2DHF+E/f83no40HcnnArf237izN7n02d5nV5oM0AmnVpzp2v3UWvqt4XXaValejU6yzub3VPPrwr4kf79u4hoUEDLrz4Eu7ue0fGffv2sfzXX+l1Ux8SGjTkr7/+4unhj9P3tlt5/b/TMskRKlWpzB133UWNmjVxDma89y533X4bb749nbr16lO5ShU+nf1VhmPemTaNKRMn0Ob00wF45eWx7Nm9mzemTWfa1LcY+vDD6WUuWriQJYsWce+AgXn8bkhOaHa9HPUanNaAee/P5ecP5wOwNWkrbbq1pV6r+ulpdm7emeGYlhe0ZOmXS9iyenOm+V5078X8uXYbL9wwJn3blsQtGdJ8++Y3GdYn959IpxvOpMYJNVnyxWKOa3Qc82b8xLpf17Jl1Waue6o7x1Y4lr+2/UXvF27i9QGvsvfvvVGfu8SWNqe3S29hhypTpgwvjn8lw7b7Bj7ItVd2ZePGDVStWi3sce07nJFh/bY7+/L21LdYvHARdevVJz4+ngoVKmZI8+XnszircxdKliwFwOpVq+h8zjnUrFWLSy67nHfe9gL8gQMHeHzIYAY9MpT4+PiozllyyecteY3Jx4AVc1bQtOMJVK1fFYCaJ9SiYZtG/PLxL2HTl61UlubntuCLiZ9nme/J57dk5fyV9Jt6N+M3TuTJeU/TqdeZmaYvUrQIZ/Y+m907d5O0MBGAxEWJNGzTiGIlinFi55PYvmE7f237i7ZXtWP/vv3MfffH6E5aJAf++edvzIwyZY7NUfqUlBQ++fBD9u7dywknnRg2za9Ll7Ji+XIuuuTS9G0JCQ34ae6PHDx4kO/nfEf9hAQAJk94hRYtW9G4adPcn4xExyz65SiglnwMePeJdyh57DGM/vU5UlNSiYuP480H3+DbN74Om779dWew7++9/JhFVz1ApTqVObtPZ2aOmsE7w6ZTr2U9eo6+gYP7D/LVlNnp6Zqf14K73uhHsZLF2blxB0M7P8Lff/4NwJcTPqfm8TUZteQZ/tr2N6O6PU3p/ytN18HdGNzxIboNuZI2XduyadUmXrzhebZv2J5n74vEtuTkZJ4ZNZIu555L6dKls0z7+2+/0ePqK9m/fz/HlCzJiGeepU7demHTvvfOdGrXqcOJzZqlb+vRqzfDhg7hgnM6U616dR4eMpQ1SYnMfP89Jr3+Jo89Mpgfvp9D4yZNeHDwEMqUKZOn5ypZ8HlLXkE+BrS+4jTaXtWOZ64Zxbqla6l1Um16jOzJjo3bMwTjNB2v78g3b3zDgeQDWeYbF2esnLeSNx98HYDEBav5d5ManH1j5wz5Lv1yCfc070+ZCsdyZq8z6fdWfwa0vp+/tu4i5WAKr9w+juBO1FteuY2PnvuA2s3q0PLCU7i7WT8uvOcirn/mBkZc/lQevCMS6w4cOMB9/fuBcwx46OFs09eqXYs3p7/DP3//w+effsKgBwYyftLkwwL9vn37+OjDD+h9U58M28uUKcPjT2b87N7Y83r69r+bj2bOYP26dbwz4wMeHfww4156gX733Jfrc5Sc8fuYvLrrY8C1T3Tn3SfeYc7U71izZA1fv/YVM0fP4OL7LjksbcO2jaje8Dg+f2VWtvnu2LiTdcvWZdi2fvk6KtSokGFb8p5kNq3cxO8//saLvV8g5WAKHXt2Cptnkw5N+Xfjf/Px8x/RpH0TfvloPsl7kpkzbQ5N2qtLU3LvwIED3N+/Hxs3bOCFca9k24oHKFq0GDVq1KRxkybcflc/Eho04I3XXj0s3axPP2Xf3r3854ILs8zvvf+9Q5kyZejQsRPzfvqJDp06UbRoUc48uzPzfvop6nMTCaUgHwOKlyyOcy7DttSUVCzu8H/+Tj07sXLeHyQtSsw23xVzllEtIeNkpar1q7E1aWuWx1lcHEWLFz1se9HiRen1XG/G3vwSqanesEJ8Ua+zqUjReOLi9XGV3EkL8GvWJPHS+FcoV65cVPmkpjoO7D+8p+u9d6bT/oyO/F/58pkeu2P7dsa99CL3DXwgkFcKBw8cBODgwQOkpqREVSeJUpxFv0TIzG41s0Qz22dmP5pZqyzSzjYzF2b5IKLTi7iWctSZP/MnLhlwGc3PbUHFmhVpddEpnH/X+YdNajumzDGcetlpfD4hfCt+0KeD6XLLOenrM0fPpP6pCVx8/6VUqVuFtleezpm9z+LjFz8GvB8XVz56NfVPSaBCjYrUaV6Hm8ffSvnq5fn+7TmH5X/Zg5fz80c/k7hgNQDL5yznlItPpcbxNely67msmLM8r94S8ak9e3azYvkyVixfBsD69etZsXwZGzdu4MCBA9zbry+/Ll3KY8OfJCU1hW3btrJt21YOHNifnsdNN1zPW2+8nr7+3KiRzJ83jw3r1/P7b7956z/N5Zzz/pOh7DVrkvh5/jwuuvRSsvL0E8O4pnsPKlWuDMCJzZrzwYz3WbVyJe+8PY0TmzXPq7dDcqKAgryZdQVGAo8AzYGFwCdmltlNGi4BqgYtTYEUIPPrPcPQmHwMeOWO8XQbchW9xtxI2UrHsn3DDj57+VPeHprxs9KmW1vMjO/e/DZsPpXrVqFMhUOzkFfO+4OnLn2Cqx+7hsseupwtq7cwqd+E9Al9qSmpVG9YnQ7XdaBMhWP5+8+/WTnvDwa1f5B1v67NkPe/m9Sg9eWncU/z/unbfnj7e5q0b8rQrx5lw4oNPHPNqLx6S8Snfl2ylBt79khfH/nkEwCcf+FF3HTLrXz15ZcAdLss41DVyxMmcXIrr1G1bu1adu7Ykb5v+/btDBp4P9u2bqV0mTLUT0jg+bHjOPW00zLk8d4771C5cmVan9Ym0/rN+e5b1q5Zw9BhT6Rv63rlVSxbuoTuV3WjyfHHc9PNt0R38hKdghuT7weMc85N9Iq1PsB5QE9geGhi51yGWcZm1g3YQ4RB3kK7cQuSmVXAO8HWQJXA5k3AHGCScy7rft9MXB5/SeGdlEgBmbQvor91kaNSqaLx+RqFh7cbF3W8GPDNjSWA4iGbk51zycEbzKwYXoC+zDn3btD2yUA551zWkzi8tIuB751zN0ZSx0LrrjezlsBvwB3ALuDrwLIrsG25mZ1cWPUTERH/M7OoF2AAXswKXgaEKaYCEA+E3l1sM4cauFnVsRVed33E9/cuzO765/C6Hfq4kO4E8969lwJpWmeViZkVJ+SX1MV2AfGmu0eJiEi+GoY3zh4sOVzCXLoBWOycmxvpgYU58e5EYFRogAcIbBsFnJSDfA77JbXc/ZaX9RQREb/KxcQ751yyc+6vkCVckN+GN2mucsj2ynhD1Jkys1JAN+CVrNJlenrRHJRHNgGZXj4Q2Jf5jdMPGQaUDV4aWkLuayciIv5XALe1dc7tB+YD6TcIMbO4wPr32Rx+OV5v9WuRn1zhdtc/DbxsZi2AzzkU0CvjnXhv4O7sMgn8asrwy+ny+MNv8iIiInKYgrut7UhgspnNA+YCfYFSQNps+ynAeudc6Jj+DcC7zrk/oym00IK8c+55M9sG3AXcgjcpAbwujflAD+fcfwurfrGi0emNueDuC6nTvC7lq5XnyUuG89N7mQ/7NGzTkKuHXUf1htUpXrIYW5O28tnLn/LBMzMjyrNEqRJcPewaWl54CmX+VZotq7fw4ZgP+Gzsp/l2riLhZPUMevCuvX921Chmf/E5u3bupFr16lx59TVc1rVbhnwWLljA888+w5LFi4iPiyOhYUOeHzuOEiVKFPQpSSQKKMY756aaWUVgCN5kuwVAF+dcWgO3BpCaoWpmDYC2wNnRlluo18k756YCU82sKN7sQ4Btzrmsb5oueaZ4qeIkLUzky4lfcM/07O+XvW93Mh+/8CFJi5JI3r2Phm0bceOLfUjek8yscZ/lOM/uI3rQ9Izjefa60WxN3MKJZ59ErzE3smPDDubN0G09peBk9Qx6gBFPPslPP/7Ao8OeoFr16nw/5zuGPzqUipUq0f6MjoAX4G/vcyPX9+rNfQMHEh9fhN9WLCcuzF0l5QhTgPeud86NAcZksq9DmG0ryOXPkCPiZjiBoL6xsOsRixZ8/AsLMnnkbDiJC1an35EOvGfTn3LxqTRq2yg9yOckz4TWDZk9ZTa/frUUgFnjPuOs3mdTr2U9BXkpUFk9gx5g0YJfOP/Ci9JvlnPp5Vcwfdp/WbJ4cXqQH/HkcLpdfQ3X9+qdflyt2rXzt+KSJ8znT6HTz0zJlVon1aZB6wYs/frXiI777fvlnHx+S8pX8+7x3aRDU6omVGPhZwvzo5oiUTvhpGZ89eWXbNm8GeccP839kTWJiZwauLPd9j//ZMmiRZQvX54eV1/Fme1Op1eP6/jl5/mFXHORI6QlL0efl5LGcWzFY4kvEsd/H/kvX+TgqXXBXrljPDeNvZmxa8dz8MBBXKrjpZteZNk3kf1YEMlv9w18gEcHP0yXTmdQpEgRzIyHBg+hxcnevbrWrfOexDj2hefpe/c9NGjYkJnvv0+fG3oy7d33qFGzViHWXvZvVD4AACAASURBVLLl74a8grxEZ1D7ByhRugT1T03g6sevZdPKjXz3Vvh73odzzm3nkXBKAsMvfJytSVtpfHpjej3Xmx0btrP480X5WHORyLz1+mssXrSQUWOep2rVavw8fx7DHxtKxUoVOaX1abhUb67UJZdfwYUXe1f2NGzUmLk//MB777zD7Xf1K8zqS3Z8/jx5BXmJypbELQCsWbKGspXKccWgrjkO8sVKFOOqx67iqUuf5OcPvS7NNYuTqHVSbS7of6GCvBwx9u3bx5hnRjPimec4vX17ABIaNOC35cuZMmkSp7Q+jQoVKwJQp27dDMfWrlOHTZs01eiIpzF5kazFxRlFwjwfPjPxReMpUqwoqakZrhYJPOPe339wcnQ5ePAgBw8eJC7kcxkXH5fegq9WvToVK1UiKTExQ5o1SYlUqVqtoKoq0bJcLEcBteRjXIlSJahS79DzESrVqkStE2vxz/Z/2LZ222HpO9/chW1rt7F++XoAGrdrzPn9L+Sj5z7IcZ57/97L0tlLuPaJ7uzfu59tSVtp3L4J7a9tz+S7J+XfyYqEsWfPbtauWZO+nvYM+mPLlqVq1Wq0OLklo0c8TfHiJaharRrz5/3EB++/T797vMtDzYzrru/J2OfHkNCgAQkNGzLzvfdIXL2aJ0eOLqzTkpzyeXd9oT5qNr/oUbM517h9Ex75Yuhh22dP/oLne47h8kFd6dD9DG6t2weALreey1k3nk2l2pVIPZjCppWb+fyVz/hs7KekfZayyxOgXOVyXPX4NZx41omULl+arUlbmTXuM2aOnpGPZ+svetRs3pg3d26GZ9CnOf/Ci3jkscfZtm0rz40exQ9z5vDXrl1UrVaNSy67nKuv6572JDIAJo4fx3/ffJNdf+0iIaEBd/bvT7PmLQrwTPwpvx81++QFr0UdL+59/5oj/heCgrxk6daJt4Nz6cFZjhwK8hIL8j3IX5SLIP/ukR/k1V0vWWrSvikPtRtY2NUQEckfPu+uV5CXLN1S56bCroKISL4xBXkRERGf8neMV5AXEZEY5vPLdhXkRUQkdvm8u143wxEREfEpteRFRCR2+bshryAvIiIxTGPyIiIiPuXvGK8gLyIiMcznE+8U5EVEJGb5/cmXCvIiIhK7/B3jdQmdiIiIX6klLyIisUtj8iIiIj6lMXkRERGf8neMV5AXEZEYpu56ERERn/L59HOfn56IiEjsUpAXEZHYZRb9EnFRdquZJZrZPjP70cxaZZO+nJk9b2YbzSzZzH4zs3MjKVPd9SIiErOsgMbkzawrMBLoA/wI9AU+MbMGzrktYdIXAz4DtgCXAeuBmsDOSMpVkBcRkdhVcP3Z/YBxzrmJAGbWBzgP6AkMD5O+J1AeOM05dyCwLTHSQtVdLyIisSsX3fVmVtzMjg1Zih9ehBUDWgCz0rY551ID660zqdkFwPfA82a22cyWmNlAM4uP5PQU5EVEJHblbkx+ALArZBkQppQKQDywOWT7ZqBKJjWrg9dNHw+cCwwF+gMPRnJ66q4XEZHYlbum7jC8cfZgybnK8ZA4vPH4G51zKcB8M6sO3AM8ktNMFORFRESi4JxLJmdBfRuQAlQO2V4Z2JTJMRuBA4EAn2YZUMXMijnn9uekjuquFxGR2FUAl9AFAvJ8oNOhYi0usP59Jod9B9QLpEuTAGzMaYAHBXkREYllBXed/Eigt5l1N7NGwItAKSBttv0UMxsWlP5FvNn1z5hZgpmdBwwEno+kUHXXi4hI7Cqgpq5zbqqZVQSG4E22WwB0cc6lTcarAaQGpV9rZp2BUcAivOvknwGeiKRcBXkREYldBfiAGufcGGBMJvs6hNn2PXBqbspUkBcRkdjl86fQaUxeRETEp9SSFxGR2OXzpq6CvIiIxC6fd9cryIuISOxSkBcREfEpddeLiIj4lFryIiIiPuXvGO/3jgoREZHYpZa8iIjErjh/N+UV5EVEJHZpTF5ERMSn/B3jFeRFRCSGqbsezOyCnGbonHs/+uqIiIgUIHXXA/BuDtM5ID7KuoiIiEgeylGQd87pUjsREfEffzfkNSYvIiIxTGPyhzOzUkB7oAZQLHifc+7ZPKiXiIhI/tOYfEZm1gz4ECgJlAK2AxWAPcAWQEFeRESODv6O8VHd1nYUMAP4P2AvcCpQE5gP3J13VRMREclncRb9chSIJsifBIxwzqUCKUBx59xa4F7g8bysnIiISL4yi345CkQT5A8AqYHXW/DG5QF2Af/Oi0qJiIhI7kUz8e4XoCXwO/AVMMTMKgDXAkvysG4iIiL5y+cXiEdzegOBjYHXDwA7gBeBisCNeVQvERGR/Ofz7vqIW/LOuXlBr7cAXfK0RiIiIgXlKAnW0dLNcEREJHb5vLs+muvkV+Pdoz4s51ydXNVIRESkoKglf5jRIetFgWZ43fZP5bpGIiIikieiGZN/Jtx2M7sVODnXNRIRESkoBdiSD8TJe4AqwELgdufc3EzS9gAmhmxOds6ViKTMvByN+Ai4NA/zExERyV9xuVgiYGZdgZHAI0BzvCD/iZlVyuKwv4CqQUvNyErN2yB/Gd597EVERI4OBXcJXT9gnHNuonPuV6AP3jNfemZxjHPObQpaNkdaaDQT734h48Q7w+t6qAjcEml++eHV/W8XdhVE8t0VRS4o7CqI5Lv33cz8LSAX3fVmVhwoHrI52TmXHJKuGNACGJa2zTmXamazgNZZFFHazJLwGuQ/AwOdc0sjqWM0E+/eI2OQTwW2ArOdc8ujyE9ERKRw5K4/ewDwcMi2R4DBIdsqAPFAaEt8M9Awk7xX4LXyFwFl8R4AN8fMmjjn1uW0gtFMvBsc6TEiIiJHIsvdxLtheOPswZLDJYyUc+574Pu0dTObAywDbgIeymk+0XTXpwBVA3e7C97+L2CLcy4+0jxFRESONoFu+ZwE9W14T22tHLK9MrAph2UdCAyX14ukjtF0VGT2s6c4sD+K/ERERApHAUy8c87tB+YDnQ4Va3GB9e8zOy5jNS0eOJ5Dz47JkRy35M3sjsBLB/Qys3+CdscD7QCNyYuIyFGjAC+THwlMNrN5wFygL1CKwLXwZjYFWO+cGxBYHwT8APwBlMO7vr4mMD6SQiPprr8r8H/Dm/qfErRvP5AY2C4iInJUyOWYfI4556aaWUVgCN4VaQuALkGXxdXAm8ie5v+AcYG0O/B6Ak4LXH6XYzkO8s652gBm9iVwiXNuRyQFiYiIHHEK8AE1zrkxwJhM9nUIWb+LQ43rqEUzu/6M3BYqIiJyJCiolnxhifg3jJlNN7P7wmy/18ym5U21RERECkDB3fGuUETTUdEO+DDM9o8C+0REROQIEM0d70oT/lK5A8CxuauOiIhIwTlKGuRRi6YlvxjoGmZ7NyCiWX8iIiKFyufd9dG05IcC75hZXeCLwLZOwFV4T6ITERE5Kljc0RGsoxXN7PoZZnYRMBAvqO/Fey5uR/SoWREROZr4O8ZH1ZLHOfcB8AGAmR0LXAk8jfcoPd27XkREjgq6hC4TZtbOzCYDG4D+eF33p+ZVxURERCR3ImrJm1kVoAdwA95M+v/iPZjmokhvtSciIlLYfN6Qz3lL3sxm4D3E/gS8G+tXc87dnl8VExERyXeaXZ/uHOBZ4EXn3O/5VB8REZECozH5Q9oCZYD5Zvajmd1mZhXyqV4iIiL5Ly4Xy1Egx9V0zv3gnOsNVAXG4t38ZkMgj7PMrEz+VFFERCR/mFnUy9Eg4t8izrndzrkJzrm2wPHACOB+YIuZvZ/XFRQREck3Ph+Tz1WHg3NuhXPuXuA4vGvlRURE5AgR1c1wQjnnUoB3A4uIiMhR4ShpkEctT4K8iIjI0ehoGVuPloK8iIjErqNklny0FORFRCRmqSUvIiLiVz4P8j7vqBAREYldasmLiEjM8nlDXkFeRERimM+jvIK8iIjELItTkBcREfElnzfkFeRFRCSG+TzKa3a9iIjErIJ8Cp2Z3WpmiWa2L/DI9lY5PK6bmTkzi/jW8QryIiIi+czMugIjgUeA5sBC4BMzq5TNcbWAp4FvoilXQV5ERGKX5WKJTD9gnHNuonPuV6APsAfomWnVzOKB14GHgVURl4iCvIiIxDCLs6iXHJdhVgxoAcxK2+acSw2st87i0EHAFufcK1GenibeiYhI7MrNtDszKw4UD9mc7JxLDtlWAYgHNods3ww0zCTvtsANwEm5qKJa8iIiErtyOfFuALArZBmQB3UqA7wK9HbObctNXmrJi4hIzMrlFXTD8CbTBQttxQNsA1KAyiHbKwObwqSvC9QCZgTN4o8DMLODQAPn3MqcVFBBXkREJAqBbvlwQT003X4zmw90At4FMLO4wPqYMIcsB44P2fYoUAa4E1ib0zoqyIuISMwqwHvhjAQmm9k8YC7QFygFTPTqYVOA9c65Ac65fcCSjPW0nQDOuQzbs6MgLyIiMctyNfUu55xzU82sIjAEqAIsALo459Im49UAUvO6XAV5ERGJWQV5V1vn3BjCd8/jnOuQzbE9oilTQV5ERGKWz29dryAvIiKxK5p70B9NFORFRCRm+TvE62Y4IiIivqWWvIiIxCx114uIiPiUz2O8gryIiMQun8d4BXkREYld6q4XERHxKZ/HeAV5ERGJXX5vyesSOhEREZ9SS15ERGKWv9vxCvIiIhLDfN5bryAvIiKxy+9j8gryIiISs/wd4hXkRUQkhvm8Ia/Z9SIiIn6lIB8D5s/7idtvuZkz27fjxMaN+GLWrAz7Z332KTf1uoF2rU/lxMaNWL5sWbZ5/vH77/S78w7OObMTJzZuxGtTJkdcLsDkCRPo0LYNHdq2YfLEiRn2LVq4kG6XXcrBgwcjPGOJRXFxcVw95BrGrRrPtD3TGfvHOLo+2C1DmhKlSnDTc32YsHYS0/ZMZ8zSF+hy0znZ5n3BnRfwwvKXmLZnOq+smcgNI3tRtHjR9P3HlD6GXqN6Mz5xAtP2TOeJ756i3sn1M+RxUf+LmbL5NaZsfo2L+l2cYV9CqwRGzhtNXLy+kguamUW9HA3UXR8D9u7ZS4MGDbjokkvod8cdh+/fu5dmzZvTuUsXHhk0KEd57tu3j+OO+zdnde7M08OHR1XubytW8MKY53j2hRfBOW6/5WZOa9OG+gkJHDx4kEcfeYRBjzxCkSL6mEr2Lr3vUs65+RxGdx/FmqVrqHdyfe6YeCe7d+1m5nMzALhhZC9O6HgCI68ZwZbEzTQ7uxl9XriF7Rv+ZO6MuWHzbXdle64b3oNnez7D8jnLqJZQnTsn9cU5mNB/PAC3jb+dmk1rMuraEWzfsJ0O15zB0FmPcmtjL+9ax9fi6iFXM/Q/Q8CMh2YO4pdPfyZpSRJx8XHc8tKtjLlxDKkpqQX2fonnKInVUdO3Zwxo264dbdu1y3T/+RdcCMD69etznGfT44+n6fHHA/DsyJFRlbt61SrqJyRwyqmnAlA/oUH6tskTJtDi5JPTyxDJTsPTGvHjez8y78N5AGxJ2kK7K9uR0CohQ5ovJn/Bkq8WA/DJuE/ofNM51G+VkGmQb3RaI5Z9t4yv3/wqPd9v3vyahFO8fIuVKMZpl7bhsQuHsvSbpQC8+cgbtDy/FefcfA6vP/Qa1RseR+KiRBZ9uQiAxEWJHNfwOJKWJHHJPZey5Oul/DHv9/x5YyRL5vOpd+obkkJTPyGBpMQkNm7YwIb160lKSqRe/fqsXbOGd//3DrfdeWdhV1GOIsvnLOOETidSrX41AGqdUJvGbRsz/6P5GdK0uqAV5av9C4DjOxxPtYRqLPj0l0zzXTZnGXVb1KV+Sy+oV65dmRbnnsz8wI+J+CLxxBeJZ/++AxmO2783mcZtmwCQtDiRagnVqfDvilSsUZHqCdVJWpJElTpV6HT9mbz+4Kt590ZIRMyiX44GaslLoalTty639+3LTb1uAOCOvndRp25dbux5PXf1v5s5337Li8+PoUiRotw3cAAtTm5ZyDWWI9nbw9/mmGNL8sLyl0hNSSUuPo7XHniVr96YnZ5m7O0vcdvLtzNp/WQOHjiIS3WM6f1cegs8nK/f/IpjKxzL8G+fwMwoUrQIH734IdOGTQNg7z97WTZnGV0f6sa6ZWvZuXkn7a5sR4PWDdn4x0YA1i1fx6sDpzDks6EATBkwmXXL1zHks0eZdO9EmnVuzpWDryLlwEHG3flylvWRvHW0BOtoKchLobqiWzeu6HZoctT7775LyVKlOPGkk7jwvHN5fep/2bx5M/f178+Hn82iWLFihVhbOZK1veJ02l/dgRFXPc2apUnUPqkOvUb3ZvuGP/liyhcA/Of280k4tQFDzx/C1qQtNGnXlJue78P2DX+y8POFYfNt2v54Lh94BS/d8iK//biCqvWq0fuZ3nR9sBtTH30LgFHXjuCOCXcyacMUUg6msPLnlXzz5tfUbVEvPZ+Px37Ex2M/Sl/veF1H9v69lxXfL+eFFS/Rv2U/Khz3L+5+6156176Bg/s14bQgxPm8u15BXo4YO3bs4KUXnmfilFdZvGgRNWrVomZgOXjwIEmJidRPSMg+I4lJPZ66nunD3+abqV8DkLQkiUo1K3HZgMv5YsoXFCtRjGsfv45hFz+WPm6fuDiR2ifV5uK7L8k0yF899Bq+fPULPnvl0/R8S5Qqzq0v38Z/H5uKc45NqzYxsMMAipcsTsljS7Jj0w7ueeteNq3aFDbPMv86lm4PX8WAdveRcEoCG37bwMY/vKVI0SLp3fkiuaUxeTliPDV8GNdc153KVaqQkprCwQOHWjIHU1JISUkpxNrJka54yeK41Iyz01NTUrE472suvmg8RYsVJTXVhUmTeWvOy/fwY+DwW6Im70lmx6YdlCpXimadmzP3vR/C5tlrVC/eG/Uuf67/k7j4eIoUjU/fF18kXpfSFSCNyctRb8/u3axZsyZ9ff36dSxftoyyZctStVo1du3cycaNG9m6ZQsAiYmrAahQoQIVKlYE4IH776NSpcrc2a8fAAf272flypXe6wMH2LJ5C8uXLaNkyZLUqFkzR+UG+37OdyQlJvHoMO9yvKZNjydx9Sq+/fprNm3aRHxcHLVq186Pt0d84qcZc7n8ga5sXbOVNUvXUKdZXS7sdxGzJnwGwN6/97J49mKuf6on+/fu97rr2zfljOs6MqHf+PR8+k7ux/b1fzJl4OT0fC/sdxGrflkV6K6vytVDr2HujLmkBn5UNDu7OWawfsV6qtarSo+nerJ++TpmTTz83hAnnXkS1RKqM7r7KAB+/+k3qjc8juZdWlDx3xVITUlh/YqcX+kiuXO0BOtomXMu+1RHmX0pqf47qVz4ae5cevXoftj2Cy66iKGPD+O9//2PQQ8MPGx/n1tu5ebbbgPghu7XUa16dYY+PgzwLrc796wzDzvm5JYteWXylByVm2bfvn1cccnFPDliJA0bNUrf/s7b0xjzzLMUK1aUgYMG0a59h8hO3OeuKHJBYVfhiHJM6WO4eug1nHpxa8pWKsv2Ddv5+s2vmDrkrfReoXKVy3HdsO40O7s5pcuXZmvSFj55+RPeG/Vuej6PfTmMLYmbeeb60QDExcdxxQNdOePaMyhf/V/8tXUXc2fM5bUHXmX3rt0AtLm8LdcN606F4yrw9/a/+X76HF59YAp7/tqToY7FShRj9IJnearrE6xeuDp9+1k3nM01j17LgeQDvHTLC+nDCQLvu5n5GoY/X7Qh6njR6YRqR/xPBAV5kaOUgrzEgvwO8l/kIsh3PAqC/BE98GNm/zazCYVdDxER8aeCvK2tmd1qZolmts/MfjSzVlmkvcTM5pnZTjPbbWYLzOzaSMs8ooM8UB44vL83iJkVN7Njg5fk5OQCqp6IiEj2zKwrMBJ4BGgOLAQ+MbNKmRyyHXgMaA2cAEwEJppZ50jKLdSJd2aWXX9jnRxkMwB4OHjDU8OH8+DDD2eSXERExFOAE+/6AeOccxO9cq0PcB7QEzjsASDOudkhm54xs+5AW+CTnBZa2LPr3wUcZHk3guzGS4bh/TpKd8/99+/KZb1ERCQG5CbIm1lxoHjI5mTnXHJIumJAC7x4BYBzLtXMZuG11LMrx4COQAPgvkjqWNjd9RuBS5xzceEWvC6NLDnnkp1zfwUvxYuHvuciIiKHs1z8h9eTvCtkGRCmmApAPLA5ZPtmoEqmdTMra2b/APuBD4DbnXOfRXJ+hd2Sn4/36+a9TPZn18qXfDR/3k9MmjCBZUuXsnXrVkY9+xwdz8x42dyqlSsZPXIE83/6iYMpKdStW5cRo5+harVqmV5mB/DUyFGc3aVLQZyGCE1Ob8LF91xK3RZ1+Ve1f/HYRY/yYyY3qgFo1KYxPZ7oQfWGx1G8ZHG2Jm3h47Ef8/7oQ19V5/Q5h3NuPpdKtSoDsGbpGt4a8iY/fzw/Q14NTm3ItY9dS8IpDUhNSWX1glU83HkQ+/ftz5+TlYjksrv+sJ5kIC8nhf0NnASUBjoBI81sVZiu/EwVdpB/CiiVxf4/gDMKqC4SIrvnwa9ds4Ye11zNxZdeys233kbp0qVZ+ccfFAv0pFSpUoXPv/o6wzFvT/svkydMoO3ppxfIOYgAFC9VgtULVzFrwmcM/N8D2aZP3r2PD8bMZPWiRJJ376Nx28bcMvY2knfv45Nx3nDotnV/Mvn+yWz4fQNm0LF7Jx5470H6NruTtb96N4FqcGpDBn/8CG8Pm8bY28eSejCFWifWTr+JjhS+aGbJpwl0y+ckqG8DUoDKIdsrA+Hvfezln4oXBwEWmFkjvJ6C2TmtY6EGeefcN9ns3w18VUDVkRDZPQ/+uWdG07ZdO+66+570bf+uUSP9dXx8fPod89J8Metzzu7ShZKlsvptJ5K3fv54/mEt7KysWrCKVQtWpa9vSdpC60tOo/HpTdKD/E8zMz5//rUHX+Wcm8+l4akN0oN8r1G9mPnsDKY/8XZ6uvW/6W52R5KCmHjnnNtvZvPxWuPveuVaXGB9TARZxXH4HIBsDxCJWGpqKt989RU1a9WiT+9edGjbhqu7duWLWYffxjPNr0uXsmL5Mi6+9LICrKlI7tU5qQ4NT2vEkq+WhN0fFxfH6V3bUaJUCZZ/vxyAshXL0uDUhuzcspMnvnuKKZte5fHZw2jUpnFBVl2OHCOB3mbWPdAifxGvJztttv0UM0ufmGdmA8zsLDOrY2aNzKw/cC3wWiSFFnZ3vRyltv/5J3v27GHC+PHcdscd9O3Xn+++/ZZ+d97B+EmTOLnl4fd4+N/0t6lTpy4nNWtWCDUWidyEtZMoW7EscUXieGvwm+lPoktTs2lNnvz+aYqVKMbef/by+MWPsXbZWgCq1PHmU105+Com3j2B1QtWccZ1HXn088e4remtbPxjQ4GfjxwuN931kXDOTTWzisAQvMl2C4Auzrm0yXg1gOBxnFLAC8BxwF5gOXCNc25qJOUqyEtUUgO3Qz6jY0eu7d4DgIaNGrFwwS9Mmzr1sCC/b98+PvrgA3r3ubmgqyoStQGn30eJ0iVocGpDrhvenY1/bODrtw7NM1m/Yj19T7qDkmVL0uaytvSdfBcD29/P2mVr059s98nYj/l8ktfDtWrBKk7sdCJn9Twr/QE4UrgKcma3c24MmXTPO+c6hKw/CDyY2zIV5CUq/1euHEWKFKFO3boZtteuU4cFP/98WPrPPv2EvXv3cf6FFxZUFUVybXOi18hKWpJEucrl6Db4qgxB/uCBg2xcuRGAlT+vpF7L+px/5wW80Od5dmzcAZA+Pp9m7bK1VKiRca6KFB6/P4VOY/ISlaLFitGkaVMSV6/OsD0pMfGwx8gCvDt9Oh06nkH58uULqooiecrijKLFi2aZJi4ozebEzfy5/k+qNzguQ5rqCdXZmrQl3+opkSnIe9cXBrXkJVPZPQ++e8+e3NuvPy1OPpmWrU7hu2+/5evZsxk/KWM35JqkJObPm8fzL40t6FMQAaBEqRJUrVc1fb1y7crUPrE2f2//h21rtx6W/txbzmPrmq2sW74OgKbtmnDx3Zcw49n309Nc93h35n80j61rtnJMmWNof1UHmnY4nsGdB6Wn+d9T07nykatZvXA1qxesomP3TlRveBzDLxt2WJlSOI6SWB01PWpWMpWT58H/b/p0Jox7mc2bN1OrVm1uvu02zujUKUP6Z0eN4oMZM/ho1izi4tR5lFf0qNmca9r+eB6ffXhg/XzSLJ65fjRXPnwVHXt0onftGwA477b/0OWmc6hcuzIpB1PYtHIjn477hI/Hfkzad+bt4+/ghE4nUr5qeXbv2k3iokTeeeJtFsxakKGMS++7jHNvPY8y5cuweuFqJt07kWXf/Zr/J+0T+f2o2bl/bI06XrSqV/GI/4mgIC9ylFKQzzt9J92Fc45nrh9d2FWREPkd5H/6Y1vU8aJlvQpHfJBXd72IxLymHY7n/rb3FnY1pBD4vbteQV5EYl6vWj0LuwpSSI6WCXTRUpAXEZGY5fMYryAvIiKxS0FeRETEp8znTzPX9UwiIiI+pZa8iIjELHXXi4iI+JRm14uIiPiUz2O8gryIiMQuv0+8U5AXEZGYpZa8iIiIT8X5PMrrEjoRERGfUkteRERils8b8gryIiISuxTkRUREfEqz60VERHxKLXkRERGf8vsd7zS7XkRExKfUkhcRkZjl84a8gryIiMQuv3fXK8iLiEjM8neIV5AXEZEY5veWvCbeiYhIzDKLfom8LLvVzBLNbJ+Z/WhmrbJI29vMvjGzHYFlVlbpM6MgLyIiMctysURUjllXYCTwCNAcWAh8YmaVMjmkA/AmcAbQGlgLfGpm1SMpV0FeREQk//UDxjnnJjrnfgX6AHuAnuESO+euds694Jxb4JxbDvTCi9mdIilUY/IiIhK7cjEmb2bFgeIhm5Odc8kh6YoBLYBhaducc6lmNguvlZ4TJYGiwPZI6qiWvIiIxKxcdtcPAHaFLAPC5t4DwwAACIZJREFUFFMBiAc2h2zfDFTJYVWfADYAs3KYHlBLXkREYlguJ9cPwxtnD5YcLmFumNn9QDegg3NuXyTHKsiLiEjMyk2MD3TL5ySobwNSgMoh2ysDm7I60MzuBu4HznTOLYq0juquFxGR2FUA19A55/YD8wmaNGdmaZPovs+8anYv8BDQxTk3L5rTU0teREQk/40EJpvZPGAu0BcoBUwEMLMpwHrn3IDA+n3AEOAqINHM0sbu/3HO/ZPTQhXkRUQkZhXU/e6cc1PNrCJe4K4CLMBroadNxqsBpAYdcjNQDHg7JKtHgME5LVdBXkREYlZB3tXWOTcGGJPJvg4h67XyokwFeRERiWH+vne9gryIiMQsnz+fRkFeRERil89jvIK8iIjELr+35HWdvIiIyP+3d6cxelV1HMe/P5ZWpQFiRDAqgYAiEWMFoqJsEQmEElJcQNGwKFEIKCa80GJwjwWXAqJCIiDgijFYQkyoNkF8YUUBIRgBRVZBqojIYm0F/r649zGTodPZ2pnOeb6fpJl5zj3n3tPJTX7POc+5z2mUI3lJ0hBreyhvyEuShlbr0/WGvCRpaDWe8Ya8JGmINZ7yhrwkaWil8ZR3db0kSY1yJC9JGlouvJMkqVGNZ7whL0kaYo0P5Q15SdLQajviDXlJ0hBrfCBvyEuShlfjGe8jdJIktcqRvCRpeDU+X2/IS5KGVtsRb8hLkoZY4wN5Q16SNMzaTnlDXpI0tFofybu6XpKkRjmSlyQNrcYH8oa8JGl4tT5db8hLkoZY2ylvyEuShlbrI/lU1Wz3QXNckvnAEmBpVa2d7f5Im4L3ueYiQ17TlmRb4F/AdlX1xGz3R9oUvM81F/kInSRJjTLkJUlqlCEvSVKjDHltDGuBz/Y/pVZ5n2vOceGdJEmNciQvSVKjDHlJkhplyEuS1ChDXpKkRhnympAkpyW5L8l/ktyY5I3j1H93kjv7+rcnOWKm+ipNRZIDk1yb5OEklWTxBNocnOSWJGuT3J3kxBnoqjRhhrzGleRYYBnd40N7A7cBK5K8dIz6bwF+AFwKvAFYDixPstfM9Fiakm3o7u3TJlI5ya7AT4HrgYXA+cAlSQ7bZD2UJslH6DSuJDcCv62q0/vXWwAPAhdW1TnrqX8VsE1VHTmi7NfArVV1ygx1W5qyJAUcXVXLN1DnXGBRVe01ouyHwPZVdfgMdFMalyN5bVCSecA+wMpBWVU917/eb4xm+42s31uxgfrSXOR9rs2eIa/xvATYElg9qnw1sNMYbXaaZH1pLhrrPt82yQtnoT/S8xjykiQ1ypDXeB4FngV2HFW+I/DIGG0emWR9aS4a6z5/oqrWzEJ/pOcx5LVBVbUOuBk4ZFDWL7w7BFg1RrNVI+v3Dt1AfWku8j7XZm+r2e6A5oRlwBVJbgJ+A3yM7nGjbwMkuRJ4qKqW9PUvAG5IcibdI0bvAfYFPjTTHZcmKskCYPcRRbsmWQg8VlUPJFkKvLyqju+PXwycnuRLwGXA24BjgEUz2W9pQwx5jauqrkqyA/A5usVGtwKHV9Vg0dHOwHMj6v8qyXHAF4AvAn8CFlfV72e259Kk7Ev3zPvAsv7nFcCJwMvo7nUAqureJIuA84AzgL8AJ1fVihnprTQBPicvSVKj/ExekqRGGfKSJDXKkJckqVGGvCRJjTLkJUlqlCEvSVKjDHlJkhplyEtzQJLLkywf8foXSc6fhX4cnKSSbD/T15Y0eYa8NA19+Fb/b12Su5N8Ksmm/jbJdwBnT7CPBrM0pPxaW2n6rgNOAuYDRwDfAP4LLB1ZKcm8fsOfaauqxzbGeSS1zZG8NH1rq+qRqrq/qi4CVgJHDabYk3wyycPAXQBJXpnkR0keT/JYkmuS7DI4WZItkyzrj/+j3wAlIy84ero+yfwk5yZ5MMnafkbhg/15B9/H/s9+RH9532aLJEuS3JtkTZLbkrxr1HWOSPLH/vj1wC5ImjMMeWnjWwPM638/BNiDbgvSI5NsDawAngQOAN4KPAVcl2TQ5ky6DVE+AOwPvBg4epxrXgm8F/gosCfw4f68DwLv7OvsQbfJyhn96yXA8cApwGvpNlr5bpKDoHszAlwNXAssBC4BzpnMH0LS7HK6XtpIkoQu1A8DLgR2AJ6m25lsXV/n/XRvrk+ufneoJCcBjwMHAz+j28p3aVVd3R8/pT/nWNd9Nd0Wp4dW1cq++J4RxwdT+3+rqsf7svnAWcDbq2qw//k9Sfane4NwA3Aq8OeqOrM/fleS1wEfn/xfR9JsMOSl6TsyyVPA1nQB/n3gM3Sfzd8+6nP419PtWf5k957g/14A7JZkO7rR9o2DA1X1TJKbGDVlP8JC4Fm6YJ6o3YEXAT8f1Y95wO/63/cc2Y/eKiTNGYa8NH3X04161wEPV9UzAH14Pj2q7gLgZuB96znP36d4/TVTaLOg/7kIeGjUsbVT7IekzYwhL03f01V19wTr3gIcSzd1/sT6KiT5K/Am4Jf9662Affq263M73QzCQXSL/kYbzCRsOaLsD3RhvnNVjTUDcAdw1KiyN49RV9JmyIV30sz6HvAocE2SA5Ls2j/H/rUkr+jrXAB8IsniJK8BvgmM+Yx7Vd0HXAFc1rcZnPOYvsr9QNF9rLBDkgVV9STwFeC8JCck2S3J3kk+kuSEvt3FwKuSfDnJHkmOo1sQKGmOMOSlGVRV/wYOBB6gW7l+B3Ap3Wfyg5H9V4Hv0AX3KrqV+D8Z59SnAj+me0NwJ/AtYJv+mg8Bn6ZbGb8a+Hrf5mzg83Sr7O+ge95/EXBv3+4BupX5i4Hb6FbhnzXF/7qkWZB+ga8kSWqMI3lJkhplyEuS1ChDXpKkRhnykiQ1ypCXJKlRhrwkSY0y5CVJapQhL0lSowx5SZIaZchLktQoQ16SpEYZ8pIkNep/0BOv9fU0pzsAAAAASUVORK5CYII=\n","text/plain":["<Figure size 600x400 with 2 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}},{"output_type":"stream","text":["Sensitivity:     88.89%\n","Specificity:     87.63%\n","Accuracy:        88.26%\n","F1 Score:        88.33%\n","MCC:             76.53%\n","auROC:           94.66%\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"hUAqvoMLaVPw"},"source":["##**T5XL BFD Model:**"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":527},"id":"Voai_2XZaXwA","executionInfo":{"status":"ok","timestamp":1629988318014,"user_tz":-60,"elapsed":235659,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}},"outputId":"ac2f414a-5ca9-447d-933a-790ad4c6d53d"},"source":["T5XL_BFD_model_INDEP = keras.models.load_model('Keras_Models/INDEP/Best_T5XL_BFD_Model_87.56')\n","X_test = load_INDEP_X_data('T5XL_BFD')\n","T5XL_BFD_mod_pred = T5XL_BFD_model_INDEP.predict(X_test, batch_size=8)\n","T5XL_BFD_mod_pred_labels = convert_preds(T5XL_BFD_mod_pred)\n","T5XL_BFD_metrics = display_conf_matrix(y_test_INDEP, T5XL_BFD_mod_pred_labels, T5XL_BFD_mod_pred, 'T5XL BFD Model', 'Figures/INDEP/T5XL_BFD_Model_CM.png')"],"execution_count":26,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 600x400 with 2 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}},{"output_type":"stream","text":["Sensitivity:     86.16%\n","Specificity:     88.96%\n","Accuracy:        87.56%\n","F1 Score:        87.38%\n","MCC:             75.15%\n","auROC:           93.68%\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"0dRekw45a06Z"},"source":["##**XLNET Model:**"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":527},"id":"af1T4rfUa3wu","executionInfo":{"status":"ok","timestamp":1629988598322,"user_tz":-60,"elapsed":280310,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}},"outputId":"cc98581c-f359-48e2-c2f6-ac92a6c7b4dc"},"source":["XLNET_model_INDEP = keras.models.load_model('Keras_Models/INDEP/Best_XLNET_Model_80.78')\n","X_test = load_INDEP_X_data('XLNET')\n","XLNET_mod_pred = XLNET_model_INDEP.predict(X_test, batch_size=8)\n","XLNET_mod_pred_labels = convert_preds(XLNET_mod_pred)\n","XLNET_metrics = display_conf_matrix(y_test_INDEP, XLNET_mod_pred_labels, XLNET_mod_pred, 'XLNET Model', 'Figures/INDEP/XLNET_Model_CM.png')"],"execution_count":27,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 600x400 with 2 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}},{"output_type":"stream","text":["Sensitivity:     82.63%\n","Specificity:     78.92%\n","Accuracy:        80.78%\n","F1 Score:        81.12%\n","MCC:             61.60%\n","auROC:           88.87%\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"n4b0xj8nbDge"},"source":["##**Combined Dataframe of Metrics:**"]},{"cell_type":"markdown","metadata":{"id":"CnhK_wTYbJ8F"},"source":["###**Importing Metrics from External AMP Prediction Servers:**"]},{"cell_type":"code","metadata":{"id":"fU1mDaWbbJSS","executionInfo":{"status":"ok","timestamp":1629988606105,"user_tz":-60,"elapsed":792,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}}},"source":["external_pred_metrics = pd.read_csv('Results/External_Pred_Metrics.csv')"],"execution_count":28,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":297},"id":"QRr236qWbzA3","executionInfo":{"status":"ok","timestamp":1629988607197,"user_tz":-60,"elapsed":224,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}},"outputId":"acb80acd-d14f-4fad-ddae-0fac054e2ddf"},"source":["external_pred_metrics"],"execution_count":29,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Unnamed: 0</th>\n","      <th>Sensitivity (%)</th>\n","      <th>Specificity (%)</th>\n","      <th>Accuracy (%)</th>\n","      <th>F1 Score (%)</th>\n","      <th>MCC (%)</th>\n","      <th>auROC (%)</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>amPEP</td>\n","      <td>56.620093</td>\n","      <td>43.484043</td>\n","      <td>50.049884</td>\n","      <td>53.121099</td>\n","      <td>0.105046</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>CAMP-ANN</td>\n","      <td>77.511643</td>\n","      <td>72.539894</td>\n","      <td>75.024942</td>\n","      <td>75.624797</td>\n","      <td>50.113094</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>CAMP-DA</td>\n","      <td>81.037924</td>\n","      <td>71.409574</td>\n","      <td>76.222148</td>\n","      <td>77.308791</td>\n","      <td>52.691414</td>\n","      <td>80.157969</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>CAMP-RF</td>\n","      <td>84.697272</td>\n","      <td>72.739362</td>\n","      <td>78.716329</td>\n","      <td>79.912116</td>\n","      <td>57.850396</td>\n","      <td>83.049725</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>CAMP-SVM</td>\n","      <td>83.033932</td>\n","      <td>71.875000</td>\n","      <td>77.452611</td>\n","      <td>78.638941</td>\n","      <td>55.252884</td>\n","      <td>80.272279</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>iAMP-2L</td>\n","      <td>76.180971</td>\n","      <td>74.601064</td>\n","      <td>75.390755</td>\n","      <td>75.577558</td>\n","      <td>50.788237</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>iAMPpred</td>\n","      <td>89.554225</td>\n","      <td>55.917553</td>\n","      <td>72.730296</td>\n","      <td>76.651481</td>\n","      <td>48.282540</td>\n","      <td>82.276228</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>Veltri-DNN</td>\n","      <td>90.086494</td>\n","      <td>66.954787</td>\n","      <td>78.516794</td>\n","      <td>80.739416</td>\n","      <td>58.628739</td>\n","      <td>86.454861</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   Unnamed: 0  Sensitivity (%)  ...    MCC (%)  auROC (%)\n","0       amPEP        56.620093  ...   0.105046        NaN\n","1    CAMP-ANN        77.511643  ...  50.113094        NaN\n","2     CAMP-DA        81.037924  ...  52.691414  80.157969\n","3     CAMP-RF        84.697272  ...  57.850396  83.049725\n","4    CAMP-SVM        83.033932  ...  55.252884  80.272279\n","5     iAMP-2L        76.180971  ...  50.788237        NaN\n","6    iAMPpred        89.554225  ...  48.282540  82.276228\n","7  Veltri-DNN        90.086494  ...  58.628739  86.454861\n","\n","[8 rows x 7 columns]"]},"metadata":{"tags":[]},"execution_count":29}]},{"cell_type":"markdown","metadata":{"id":"OLnz27Mubz87"},"source":["###**Combining Metrics Found above on the Independent Dataset:**"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":235},"id":"Rg7ag9vX5IEf","executionInfo":{"status":"ok","timestamp":1629988620779,"user_tz":-60,"elapsed":282,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}},"outputId":"5c367fb9-eb0d-41f0-a601-9a0327ce399d"},"source":["metrics_INDEP_dataset = pd.DataFrame({'Veltri Recr. - DNN*':veltri_recreated_metrics, 'BERT - DNN':BERT_metrics, 'BERT BFD - DNN':BERT_BFD_metrics, \n","                           'T5XL UNI - DNN':T5XL_UNI_metrics, 'T5XL BFD - DNN':T5XL_BFD_metrics, 'XLNET - DNN':XLNET_metrics\n","                            }).T.rename(\n","                        columns={0: \"Sensitivity (%)\", 1: \"Specificity (%)\", 2: \"Accuracy (%)\", \n","                                 3: \"F1 Score (%)\", 4: \"MCC (%)\", 5: \"auROC (%)\"})\n","metrics_INDEP_dataset"],"execution_count":30,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Sensitivity (%)</th>\n","      <th>Specificity (%)</th>\n","      <th>Accuracy (%)</th>\n","      <th>F1 Score (%)</th>\n","      <th>MCC (%)</th>\n","      <th>auROC (%)</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>Veltri Recr. - DNN*</th>\n","      <td>75.981371</td>\n","      <td>85.106383</td>\n","      <td>80.545394</td>\n","      <td>79.609620</td>\n","      <td>61.344824</td>\n","      <td>85.815050</td>\n","    </tr>\n","    <tr>\n","      <th>BERT - DNN</th>\n","      <td>84.431138</td>\n","      <td>84.906915</td>\n","      <td>84.669105</td>\n","      <td>84.628209</td>\n","      <td>69.338911</td>\n","      <td>90.839907</td>\n","    </tr>\n","    <tr>\n","      <th>BERT BFD - DNN</th>\n","      <td>86.826347</td>\n","      <td>88.164894</td>\n","      <td>87.495843</td>\n","      <td>87.407904</td>\n","      <td>74.998209</td>\n","      <td>93.584418</td>\n","    </tr>\n","    <tr>\n","      <th>T5XL UNI - DNN</th>\n","      <td>88.888889</td>\n","      <td>87.632979</td>\n","      <td>88.260725</td>\n","      <td>88.330579</td>\n","      <td>76.527657</td>\n","      <td>94.657405</td>\n","    </tr>\n","    <tr>\n","      <th>T5XL BFD - DNN</th>\n","      <td>86.161011</td>\n","      <td>88.962766</td>\n","      <td>87.562355</td>\n","      <td>87.381916</td>\n","      <td>75.153805</td>\n","      <td>93.675238</td>\n","    </tr>\n","    <tr>\n","      <th>XLNET - DNN</th>\n","      <td>82.634731</td>\n","      <td>78.922872</td>\n","      <td>80.778184</td>\n","      <td>81.123449</td>\n","      <td>61.599583</td>\n","      <td>88.872654</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                     Sensitivity (%)  Specificity (%)  ...    MCC (%)  auROC (%)\n","Veltri Recr. - DNN*        75.981371        85.106383  ...  61.344824  85.815050\n","BERT - DNN                 84.431138        84.906915  ...  69.338911  90.839907\n","BERT BFD - DNN             86.826347        88.164894  ...  74.998209  93.584418\n","T5XL UNI - DNN             88.888889        87.632979  ...  76.527657  94.657405\n","T5XL BFD - DNN             86.161011        88.962766  ...  75.153805  93.675238\n","XLNET - DNN                82.634731        78.922872  ...  61.599583  88.872654\n","\n","[6 rows x 6 columns]"]},"metadata":{"tags":[]},"execution_count":30}]},{"cell_type":"code","metadata":{"id":"A9DviHHDdSv0","executionInfo":{"status":"ok","timestamp":1629989031877,"user_tz":-60,"elapsed":862,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}}},"source":["metrics_INDEP_dataset.to_csv('Results/INDEP_DATASET_ALL_MODEL_METRICS.csv')"],"execution_count":31,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"OHFTAS5ZcERa"},"source":["###**Concatenating the Two Dataframes:**"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":483},"id":"9t_wbWuZcGwZ","executionInfo":{"status":"ok","timestamp":1629989036122,"user_tz":-60,"elapsed":193,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}},"outputId":"9abc1a50-f913-4009-92b1-049100ca34cd"},"source":["comb_metrics_df = pd.concat([external_pred_metrics, metrics_INDEP_dataset], axis=0)\n","comb_metrics_df = comb_metrics_df.rename(columns={comb_metrics_df.columns[0]: 'Method'})\n","comb_metrics_df"],"execution_count":32,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Method</th>\n","      <th>Sensitivity (%)</th>\n","      <th>Specificity (%)</th>\n","      <th>Accuracy (%)</th>\n","      <th>F1 Score (%)</th>\n","      <th>MCC (%)</th>\n","      <th>auROC (%)</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>amPEP</td>\n","      <td>56.620093</td>\n","      <td>43.484043</td>\n","      <td>50.049884</td>\n","      <td>53.121099</td>\n","      <td>0.105046</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>CAMP-ANN</td>\n","      <td>77.511643</td>\n","      <td>72.539894</td>\n","      <td>75.024942</td>\n","      <td>75.624797</td>\n","      <td>50.113094</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>CAMP-DA</td>\n","      <td>81.037924</td>\n","      <td>71.409574</td>\n","      <td>76.222148</td>\n","      <td>77.308791</td>\n","      <td>52.691414</td>\n","      <td>80.157969</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>CAMP-RF</td>\n","      <td>84.697272</td>\n","      <td>72.739362</td>\n","      <td>78.716329</td>\n","      <td>79.912116</td>\n","      <td>57.850396</td>\n","      <td>83.049725</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>CAMP-SVM</td>\n","      <td>83.033932</td>\n","      <td>71.875000</td>\n","      <td>77.452611</td>\n","      <td>78.638941</td>\n","      <td>55.252884</td>\n","      <td>80.272279</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>iAMP-2L</td>\n","      <td>76.180971</td>\n","      <td>74.601064</td>\n","      <td>75.390755</td>\n","      <td>75.577558</td>\n","      <td>50.788237</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>iAMPpred</td>\n","      <td>89.554225</td>\n","      <td>55.917553</td>\n","      <td>72.730296</td>\n","      <td>76.651481</td>\n","      <td>48.282540</td>\n","      <td>82.276228</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>Veltri-DNN</td>\n","      <td>90.086494</td>\n","      <td>66.954787</td>\n","      <td>78.516794</td>\n","      <td>80.739416</td>\n","      <td>58.628739</td>\n","      <td>86.454861</td>\n","    </tr>\n","    <tr>\n","      <th>Veltri Recr. - DNN*</th>\n","      <td>NaN</td>\n","      <td>75.981371</td>\n","      <td>85.106383</td>\n","      <td>80.545394</td>\n","      <td>79.609620</td>\n","      <td>61.344824</td>\n","      <td>85.815050</td>\n","    </tr>\n","    <tr>\n","      <th>BERT - DNN</th>\n","      <td>NaN</td>\n","      <td>84.431138</td>\n","      <td>84.906915</td>\n","      <td>84.669105</td>\n","      <td>84.628209</td>\n","      <td>69.338911</td>\n","      <td>90.839907</td>\n","    </tr>\n","    <tr>\n","      <th>BERT BFD - DNN</th>\n","      <td>NaN</td>\n","      <td>86.826347</td>\n","      <td>88.164894</td>\n","      <td>87.495843</td>\n","      <td>87.407904</td>\n","      <td>74.998209</td>\n","      <td>93.584418</td>\n","    </tr>\n","    <tr>\n","      <th>T5XL UNI - DNN</th>\n","      <td>NaN</td>\n","      <td>88.888889</td>\n","      <td>87.632979</td>\n","      <td>88.260725</td>\n","      <td>88.330579</td>\n","      <td>76.527657</td>\n","      <td>94.657405</td>\n","    </tr>\n","    <tr>\n","      <th>T5XL BFD - DNN</th>\n","      <td>NaN</td>\n","      <td>86.161011</td>\n","      <td>88.962766</td>\n","      <td>87.562355</td>\n","      <td>87.381916</td>\n","      <td>75.153805</td>\n","      <td>93.675238</td>\n","    </tr>\n","    <tr>\n","      <th>XLNET - DNN</th>\n","      <td>NaN</td>\n","      <td>82.634731</td>\n","      <td>78.922872</td>\n","      <td>80.778184</td>\n","      <td>81.123449</td>\n","      <td>61.599583</td>\n","      <td>88.872654</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                         Method  Sensitivity (%)  ...    MCC (%)  auROC (%)\n","0                         amPEP        56.620093  ...   0.105046        NaN\n","1                      CAMP-ANN        77.511643  ...  50.113094        NaN\n","2                       CAMP-DA        81.037924  ...  52.691414  80.157969\n","3                       CAMP-RF        84.697272  ...  57.850396  83.049725\n","4                      CAMP-SVM        83.033932  ...  55.252884  80.272279\n","5                       iAMP-2L        76.180971  ...  50.788237        NaN\n","6                      iAMPpred        89.554225  ...  48.282540  82.276228\n","7                    Veltri-DNN        90.086494  ...  58.628739  86.454861\n","Veltri Recr. - DNN*         NaN        75.981371  ...  61.344824  85.815050\n","BERT - DNN                  NaN        84.431138  ...  69.338911  90.839907\n","BERT BFD - DNN              NaN        86.826347  ...  74.998209  93.584418\n","T5XL UNI - DNN              NaN        88.888889  ...  76.527657  94.657405\n","T5XL BFD - DNN              NaN        86.161011  ...  75.153805  93.675238\n","XLNET - DNN                 NaN        82.634731  ...  61.599583  88.872654\n","\n","[14 rows x 7 columns]"]},"metadata":{"tags":[]},"execution_count":32}]},{"cell_type":"code","metadata":{"id":"kg7VrdW-dFDp","executionInfo":{"status":"ok","timestamp":1629989041506,"user_tz":-60,"elapsed":696,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}}},"source":["comb_metrics_df.to_csv('Results/INDEP_DATASET_ALL_INT_AND_EXT_METRICS.csv')"],"execution_count":33,"outputs":[]},{"cell_type":"code","metadata":{"id":"gxVyOv9JexlG"},"source":[""],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"zNPwbHh8NQ4f"},"source":["# **Plotting ROC Curves:**"]},{"cell_type":"markdown","metadata":{"id":"n-GH0WQ_RMk_"},"source":["##**Veltri Dataset Results ROC Curves:**"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":576},"id":"c4SfhtECNVMl","executionInfo":{"status":"ok","timestamp":1630314990111,"user_tz":-60,"elapsed":371618,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}},"outputId":"a0881496-985d-46fd-e693-f27c673f6c02"},"source":["# code source: https://stackoverflow.com/questions/42894871/how-to-plot-multiple-roc-curves-in-one-plot-with-legend-and-auc-scores-in-python\n","\n","plt.figure(figsize=(8,6), dpi=100)\n","\n","clf1 = keras.models.load_model('Keras_Models/VELTRI/Best_Veltri_Model_90.6')\n","clf2 = keras.models.load_model('Keras_Models/VELTRI/Best_BERT_Model_92.06')\n","clf3 = keras.models.load_model('Keras_Models/VELTRI/Best_BERT_BFD_Model_92.06')\n","clf4 = keras.models.load_model('Keras_Models/VELTRI/Best_T5XL_UNI_Model_93.33')\n","clf5 = keras.models.load_model('Keras_Models/VELTRI/Best_T5XL_BFD_Model_92.21')\n","clf6 = keras.models.load_model('Keras_Models/VELTRI/Best_XLNET_Model_89.75')\n","\n","models = [\n","{\n","    'label': 'Veltri',\n","    'model': clf1,\n","    'LM': 'VELTRI'\n","},\n","{'label': 'BERT Uni', 'model': clf2, 'LM': 'BERT'}, {'label': 'BERT BFD', 'model': clf3, 'LM': 'BERT_BFD'}, \n","{'label': 'T5 Uni', 'model': clf4, 'LM': 'T5XL_UNI'}, {'label': 'T5 BFD', 'model': clf5, 'LM': 'T5XL_BFD'}, \n","{'label': 'XLNet', 'model': clf6, 'LM': 'XLNET'}, \n","]\n","\n","for m in models:\n","    model = m['model']\n","    x_test = load_VELTRI_X_data(m['LM'])\n","    y_pred = model.predict(x_test, batch_size=8) \n","# Compute False postive rate, and True positive rate\n","    fpr, tpr, thresholds = roc_curve(y_test_VELT_df, y_pred)\n","# Calculate Area under the curve to display on the plot\n","    auc = roc_auc_score(y_test_VELT_df, y_pred)\n","# Plot the computed values\n","    plt.plot(fpr, tpr, label='%s ROC (area = %0.2f)' % (m['label'], auc))\n","\n","# Custom settings for the plot \n","plt.plot([0, 1], [0, 1],'r--')\n","plt.xlim([0.0, 1.0])\n","plt.ylim([0.0, 1.05])\n","plt.xlabel('1 - Specificity (False Positive Rate)')\n","plt.ylabel('Sensitivity (True Positive Rate)')\n","plt.title('Receiver Operating Characteristic Curve\\nModels Tested on Veltri Dataset', fontweight='bold')\n","plt.legend(loc=\"lower right\")\n","plt.savefig('Figures/VELTRI/ROC_Curves.png', bbox_inches='tight')\n","plt.show()   "],"execution_count":14,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 800x600 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"IHx3m704WTq6"},"source":["##**Independent Dataset Results ROC Curves:**"]},{"cell_type":"code","metadata":{"id":"rs5h8nXUjHXW","executionInfo":{"status":"ok","timestamp":1630318491185,"user_tz":-60,"elapsed":185,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}}},"source":["def save_preds(model_loc, LM, save_file):\n","    clf = keras.models.load_model(model_loc)\n","    x_test = load_INDEP_X_data(LM)\n","    pred = clf.predict(x_test, batch_size=8)\n","    np.save(save_file, pred)"],"execution_count":11,"outputs":[]},{"cell_type":"code","metadata":{"id":"azsG5p6ghgdQ","executionInfo":{"status":"ok","timestamp":1630319683702,"user_tz":-60,"elapsed":1062307,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}}},"source":["# Saving Prediction arrays from stored models:\n","save_preds('Keras_Models/INDEP/Best_Veltri_Model_80.7', 'VELTRI', 'Predictions/INDEP/INDEP_VELTRI_Model_Preds.npy')\n","save_preds('Keras_Models/INDEP/Best_BERT_Model_84.67', 'BERT', 'Predictions/INDEP/INDEP_BERT_Model_Preds.npy')\n","save_preds('Keras_Models/INDEP/Best_BERT_BFD_Model_87.50', 'BERT_BFD', 'Predictions/INDEP/INDEP_BERT_BFD_Model_Preds.npy')\n","save_preds('Keras_Models/INDEP/Best_T5XL_UNI_Model_88.26', 'T5XL_UNI', 'Predictions/INDEP/INDEP_T5XL_UNI_Model_Preds.npy')\n","save_preds('Keras_Models/INDEP/Best_T5XL_BFD_Model_87.56', 'T5XL_BFD', 'Predictions/INDEP/INDEP_T5XL_BFD_Model_Preds.npy')\n","save_preds('Keras_Models/INDEP/Best_XLNET_Model_80.78', 'XLNET', 'Predictions/INDEP/INDEP_XLNET_Model_Preds.npy')"],"execution_count":12,"outputs":[]},{"cell_type":"code","metadata":{"id":"QPrvRaA0kqZw","executionInfo":{"status":"ok","timestamp":1630319961698,"user_tz":-60,"elapsed":853,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}}},"source":["# Loading Predictions, this ordering of operations saves memory when plotting ROC curves\n","pred1 =  np.load('Predictions/INDEP/INDEP_VELTRI_Model_Preds.npy')\n","pred2 =  np.load('Predictions/INDEP/INDEP_BERT_Model_Preds.npy')\n","pred3 =  np.load('Predictions/INDEP/INDEP_BERT_BFD_Model_Preds.npy')\n","pred4 =  np.load('Predictions/INDEP/INDEP_T5XL_UNI_Model_Preds.npy')\n","pred5 =  np.load('Predictions/INDEP/INDEP_T5XL_BFD_Model_Preds.npy')\n","pred6 =  np.load('Predictions/INDEP/INDEP_XLNET_Model_Preds.npy')"],"execution_count":13,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":576},"id":"B3hBYy4nSfmR","executionInfo":{"status":"ok","timestamp":1630319980075,"user_tz":-60,"elapsed":1278,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}},"outputId":"35bd20f0-723c-4b48-cd98-a9f195c21185"},"source":["plt.figure(figsize=(8,6), dpi=100)\n","\n","models = [\n","{\n","    'label': 'Veltri',\n","    'pred': pred1\n","},\n","{'label': 'BERT Uni', 'pred': pred2}, {'label': 'BERT BFD', 'pred': pred3}, \n","{'label': 'T5 Uni', 'pred': pred4}, {'label': 'T5 BFD',  'pred': pred5}, \n","{'label': 'XLNet', 'pred': pred6}, \n","]\n","\n","for m in models:\n","    y_pred = m['pred']\n","# Compute False postive rate, and True positive rate\n","    fpr, tpr, thresholds = roc_curve(y_test_INDEP, y_pred)\n","# Calculate Area under the curve to display on the plot\n","    auc = roc_auc_score(y_test_INDEP, y_pred)\n","# Plot the computed values\n","    plt.plot(fpr, tpr, label='%s ROC (area = %0.2f)' % (m['label'], auc))\n","\n","# Custom settings for the plot \n","plt.plot([0, 1], [0, 1],'r--')\n","plt.xlim([0.0, 1.0])\n","plt.ylim([0.0, 1.05])\n","plt.xlabel('1 - Specificity (False Positive Rate)')\n","plt.ylabel('Sensitivity (True Positive Rate)')\n","plt.title('Receiver Operating Characteristic Curve\\nModels Tested on Independent Dataset', fontweight='bold')\n","plt.legend(loc=\"lower right\")\n","plt.savefig('Figures/INDEP/ROC_Curves.png', bbox_inches='tight')\n","plt.show()"],"execution_count":16,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 800x600 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"T_gXIi2PDFPC"},"source":["#**Testing Accuracy/Size/Time-Taken Trade-offs:**"]},{"cell_type":"code","metadata":{"id":"1m1ZhspsXKo0","executionInfo":{"status":"ok","timestamp":1630327109119,"user_tz":-60,"elapsed":77996,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}}},"source":["x_test_T5XL_UNI = load_INDEP_X_data('T5XL_UNI')\n","x_test_BERT_BFD = load_INDEP_X_data('BERT_BFD')"],"execution_count":5,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"to24CX0rEE_B"},"source":["##**T5XL Load Model and Predict Time:**"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"8s14L3pwDJ8P","executionInfo":{"status":"ok","timestamp":1630327298137,"user_tz":-60,"elapsed":165979,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}},"outputId":"65f2cf32-0ea4-462c-b91d-42e20385a2bc"},"source":["start_time = time.time()\n","\n","# Load Model:\n","T5_Model = keras.models.load_model('Keras_Models/INDEP/Best_T5XL_UNI_Model_88.26')\n","\n","# Predict based on X Data:\n","T5_preds = T5_Model.predict(x_test_T5XL_UNI, batch_size=8)\n","\n","print(\"--- %s seconds ---\" % (time.time() - start_time))"],"execution_count":6,"outputs":[{"output_type":"stream","text":["--- 165.7531816959381 seconds ---\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"qTeEJUPdEc7Q","executionInfo":{"status":"ok","timestamp":1630327350527,"user_tz":-60,"elapsed":34558,"user":{"displayName":"Will Dee","photoUrl":"","userId":"18339245303983317021"}},"outputId":"2abf4a55-edb5-4ede-e0f7-56c8a19aeb6d"},"source":["start_time = time.time()\n","\n","# Load Model:\n","BERT_BFD_Model = keras.models.load_model('Keras_Models/INDEP/Best_BERT_BFD_Model_87.50')\n","\n","# Predict based on X Data:\n","BERT_BFD_preds = BERT_BFD_Model.predict(x_test_BERT_BFD, batch_size=8)\n","\n","print(\"--- %s seconds ---\" % (time.time() - start_time))"],"execution_count":7,"outputs":[{"output_type":"stream","text":["--- 34.392088174819946 seconds ---\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"yOY1MC-tFJzX"},"source":[""],"execution_count":null,"outputs":[]}]}